A curated list of decision, classification and regression tree research papers with implementations from the following conferences:
- Machine learning
- Computer vision
- Natural language processing
- Data
- Artificial intelligence
Similar collections about graph classification, gradient boosting and community detection papers with implementations.
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Induction of Non-Monotonic Logic Programs to Explain Boosted Tree Models Using LIME (AAAI 2019)
- Farhad Shakerin, Gopal Gupta
- [Paper]
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Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making (AAAI 2019)
- Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos
- [Paper]
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Desiderata for Interpretability: Explaining Decision Tree Predictions with Counterfactuals (AAAI 2019)
- Kacper Sokol, Peter A. Flach
- [Paper]
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Weighted Oblique Decision Trees (AAAI 2019)
- Bin-Bin Yang, Song-Qing Shen, Wei Gao
- [Paper]
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Learning Optimal Classification Trees Using a Binary Linear Program Formulation (AAAI 2019)
- Sicco Verwer, Yingqian Zhang
- [Paper]
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XBART: Accelerated Bayesian Additive Regression Trees (AISTATS 2019)
- Jingyu He, Saar Yalov, P. Richard Hahn
- [Paper]
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Interaction Detection with Bayesian Decision Tree Ensembles (AISTATS 2019)
- Junliang Du, Antonio R. Linero
- [Paper]
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Incorporating Grouping Information into Bayesian Decision Tree Ensembles (ICML 2019)
- Junliang Du, Antonio R. Linero
- [Paper]
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Adaptive Neural Trees (ICML 2019)
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Robust Decision Trees Against Adversarial Examples (ICML 2019)
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FAHT: An Adaptive Fairness-aware Decision Tree Classifier (IJCAI 2019)
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Inter-node Hellinger Distance based Decision Tree (IJCAI 2019)
- Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib
- [Paper]
- [Matlab Code]
- [R Code]
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Gradient Boosting with Piece-Wise Linear Regression Trees (IJCAI 2019)
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A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees (IJCAI 2019)
- Klaus Broelemann, Gjergji Kasneci
- [[Paper]]https://arxiv.org/abs/1809.09703)
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Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search (KDD 2019)
- Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
- [Paper]
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Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks (NeurIPS 2019)
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Block-distributed Gradient Boosted Trees (SIGIR 2019)
- Theodore Vasiloudis, Hyunsu Cho, Henrik Boström
- [Paper]
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Entity Personalized Talent Search Models with Tree Interaction Features (WWW 2019)
- Cagri Ozcaglar, Sahin Cem Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan
- [Paper]
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Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees (AAAI 2018)
- Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé
- [Paper]
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MERCS: Multi-Directional Ensembles of Regression and Classification Trees (AAAI 2018)
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Differential Performance Debugging With Discriminant Regression Trees (AAAI 2018)
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Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction (AAAI 2018)
- Jessa Bekker, Jesse Davis
- [Paper]
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MDP-Based Cost Sensitive Classification Using Decision Trees (AAAI 2018)
- Shlomi Maliah, Guy Shani
- [Paper]
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Generative Adversarial Image Synthesis With Decision Tree Latent Controller (CVPR 2018)
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Enhancing Very Fast Decision Trees with Local Split-Time Predictions (ICDM 2018)
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Realization of Random Forest for Real-Time Evaluation through Tree Framing (ICDM 2018)
- Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
- [Paper]
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Finding Influential Training Samples for Gradient Boosted Decision Trees (ICML 2018)
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Learning Optimal Decision Trees with SAT (IJCAI 2018)
- Nina Narodytska, Alexey Ignatiev, Filipe Pereira, João Marques-Silva
- [Paper]
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Extremely Fast Decision Tree (KDD 2018)
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RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization (KDD 2018)
- Ting Ye, Hucheng Zhou, Will Y. Zou, Bin Gao, Ruofei Zhang
- [Paper]
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CatBoost: Unbiased Boosting with Categorical Features (NIPS 2018)
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Active Learning for Non-Parametric Regression Using Purely Random Trees (NIPS 2018)
- Jack Goetz, Ambuj Tewari, Paul Zimmerman
- [Paper]
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Alternating optimization of decision trees with application to learning sparse oblique trees (NIPS 2018)
- Miguel Á. Carreira-Perpiñán, Pooya Tavallali
- [Paper]
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Multi-Layered Gradient Boosting Decision Trees (NIPS 2018)
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Transparent Tree Ensembles (SIGIR 2018)
- Alexander Moore, Vanessa Murdock, Yaxiong Cai, Kristine Jones
- [Paper]
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Privacy-aware Ranking with Tree Ensembles on the Cloud (SIGIR 2018)
- Shiyu Ji, Jinjin Shao, Daniel Agun, Tao Yang
- [Paper]
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Strategic Sequences of Arguments for Persuasion Using Decision Trees (AAAI 2017)
- Emmanuel Hadoux, Anthony Hunter
- [Paper]
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BoostVHT: Boosting Distributed Streaming Decision Trees (CIKM 2017)
- Theodore Vasiloudis, Foteini Beligianni, Gianmarco De Francisci Morales
- [Paper]
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Latency Reduction via Decision Tree Based Query Construction (CIKM 2017)
- Aman Grover, Dhruv Arya, Ganesh Venkataraman
- [Paper]
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Enumerating Distinct Decision Trees (ICML 2017)
- Salvatore Ruggieri
- [Paper]
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Gradient Boosted Decision Trees for High Dimensional Sparse Output (ICML 2017)
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Extremely Fast Decision Tree Mining for Evolving Data Streams (KDD 2017)
- Albert Bifet, Jiajin Zhang, Wei Fan, Cheng He, Jianfeng Zhang, Jianfeng Qian, Geoff Holmes, Bernhard Pfahringer
- [Paper]
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CatBoost: Gradient Boosting with Categorical Features Support (NIPS 2017)
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LightGBM: A Highly Efficient Gradient Boosting Decision Tree (NIPS 2017)
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Variable Importance Using Decision Trees (NIPS 2017)
- Jalil Kazemitabar, Arash Amini, Adam Bloniarz, Ameet S. Talwalkar
- [Paper]
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Pruning Decision Trees via Max-Heap Projection (SDM 2017)
- Zhi Nie, Binbin Lin, Shuai Huang, Naren Ramakrishnan, Wei Fan, Jieping Ye
- [Paper]
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A Practical Method for Solving Contextual Bandit Problems Using Decision Trees (UAI 2017)
- Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik
- [Paper]
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Complexity of Solving Decision Trees with Skew-Symmetric Bilinear Utility (UAI 2017)
- Hugo Gilbert, Olivier Spanjaard
- [Paper]
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GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees (WWW 2017)
- Qian Zhao, Yue Shi, Liangjie Hong
- [Paper]
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Sparse Perceptron Decision Tree for Millions of Dimensions (AAAI 2016)
- Weiwei Liu, Ivor W. Tsang
- [Paper]
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Learning Online Smooth Predictors for Realtime Camera Planning Using Recurrent Decision Trees (CVPR 2016)
- Jianhui Chen, Hoang Minh Le, Peter Carr, Yisong Yue, James J. Little
- [Paper]
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Online Learning with Bayesian Classification Trees (CVPR 2016)
- Samuel Rota Bulò, Peter Kontschieder
- [Paper]
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Accurate Robust and Efficient Error Estimation for Decision Trees (ICML 2016)
- Lixin Fan
- [Paper]
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Meta-Gradient Boosted Decision Tree Model for Weight and Target Learning (ICML 2016)
- Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev, Pavel Serdyukov
- [Paper]
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Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments (KDD 2016)
- Alexey Poyarkov, Alexey Drutsa, Andrey Khalyavin, Gleb Gusev, Pavel Serdyukov
- [Paper]
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XGBoost: A Scalable Tree Boosting System (KDD 2016)
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Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale (NIPS 2016)
- Firas Abuzaid, Joseph K. Bradley, Feynman T. Liang, Andrew Feng, Lee Yang, Matei Zaharia, Ameet S. Talwalkar
- [Paper]
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A Communication-Efficient Parallel Algorithm for Decision Tree (NIPS 2016)
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Exploiting CPU SIMD Extensions to Speed-up Document Scoring with Tree Ensembles (SIGIR 2016)
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Post-Learning Optimization of Tree Ensembles for Efficient Ranking (SIGIR 2016)
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Particle Gibbs for Bayesian Additive Regression Trees (AISTATS 2015)
- Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
- [Paper]
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DART: Dropouts meet Multiple Additive Regression Trees (AISTATS 2015)
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Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models (CVPR 2015)
- Jingjing Xiao, Rustam Stolkin, Ales Leonardis
- [Paper]
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Face alignment using cascade Gaussian process regression trees (CVPR 2015)
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Tracking-by-Segmentation with Online Gradient Boosting Decision Tree (ICCV 2015)
- Jeany Son, Ilchae Jung, Kayoung Park, Bohyung Han
- [[Paper]](Tracking-by-Segmentation with Online Gradient Boosting Decision Tree)
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Entropy evaluation based on confidence intervals of frequency estimates : Application to the learning of decision trees (ICML 2015)
- Mathieu Serrurier, Henri Prade
- [Paper]
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Large-scale Distributed Dependent Nonparametric Trees (ICML 2015)
- Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing
- [Paper]
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Optimal Action Extraction for Random Forests and Boosted Trees (KDD 2015)
- Zhicheng Cui, Wenlin Chen, Yujie He, Yixin Chen
- [Paper]
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A Decision Tree Framework for Spatiotemporal Sequence Prediction (KDD 2015)
- Taehwan Kim, Yisong Yue, Sarah L. Taylor, Iain A. Matthews
- [Paper]
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Efficient Non-greedy Optimization of Decision Trees (NIPS 2015)
- Mohammad Norouzi, Maxwell D. Collins, Matthew Johnson, David J. Fleet, Pushmeet Kohli
- [Paper]
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QuickScorer: A Fast Algorithm to Rank Documents with Additive Ensembles of Regression Trees (SIGIR 2015)
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A Mixtures-of-Trees Framework for Multi-Label Classification (CIKM 2014)
- Charmgil Hong, Iyad Batal, Milos Hauskrecht
- [Paper]
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On Building Decision Trees from Large-scale Data in Applications of On-line Advertising (CIKM 2014)
- Shivaram Kalyanakrishnan, Deepthi Singh, Ravi Kant
- [Paper]
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Fast Supervised Hashing with Decision Trees for High-Dimensional Data (CVPR 2014)
- Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter
- [Paper]
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One Millisecond Face Alignment with an Ensemble of Regression Trees (CVPR 2014)
- Vahid Kazemi, Josephine Sullivan
- [Paper]
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The return of AdaBoost.MH: multi-class Hamming trees (ICLR 2014)
- Balázs Kégl
- [Paper]
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Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost (ICML 2014)
- Ferdinando Cicalese, Eduardo Sany Laber, Aline Medeiros Saettler
- [Paper]
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Learning multiple-question decision trees for cold-start recommendation (WSDM 2013)
- Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha
- [Paper]
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Weakly Supervised Learning of Image Partitioning Using Decision Trees with Structured Split Criteria (ICCV 2013)
- Christoph N. Straehle, Ullrich Köthe, Fred A. Hamprecht
- [Paper]
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Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees (ICCV 2013)
- Oisin Mac Aodha, Gabriel J. Brostow
- [Paper]
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Conformal Prediction Using Decision Trees (ICDM 2013)
- Ulf Johansson, Henrik Boström, Tuve Löfström
- [Paper]
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Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results (ICDM 2013)
- Zhe Jiang, Shashi Shekhar, Xun Zhou, Joseph K. Knight, Jennifer Corcoran
- [Paper]
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Top-down particle filtering for Bayesian decision trees (ICML 2013)
- Balaji Lakshminarayanan, Daniel M. Roy, Yee Whye Teh
- [Paper]
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Quickly Boosting Decision Trees - Pruning Underachieving Features Early (ICML 2013)
- Ron Appel, Thomas J. Fuchs, Piotr Dollár, Pietro Perona
- [Paper]
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Knowledge Compilation for Model Counting: Affine Decision Trees (IJCAI 2013)
- Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Samuel Thomas
- [Paper]
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Understanding variable importances in forests of randomized trees (NIPS 2013)
- Gilles Louppe, Louis Wehenkel, Antonio Sutera, Pierre Geurts
- [Paper]
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Regression-tree Tuning in a Streaming Setting (NIPS 2013)
- Samory Kpotufe, Francesco Orabona
- [Paper]
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Learning Max-Margin Tree Predictors (UAI 2013)
- Ofer Meshi, Elad Eban, Gal Elidan, Amir Globerson
- [Paper]
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Regression Tree Fields - An efficient, non-parametric approach to image labeling problems (CVPR 2012)
- Jeremy Jancsary, Sebastian Nowozin, Toby Sharp, Carsten Rother
- [Paper]
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ConfDTree: Improving Decision Trees Using Confidence Intervals (ICDM 2012)
- Gilad Katz, Asaf Shabtai, Lior Rokach, Nir Ofek
- [Paper]
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Improved Information Gain Estimates for Decision Tree Induction (ICML 2012)
- Sebastian Nowozin
- [Paper]
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Learning Partially Observable Models Using Temporally Abstract Decision Trees (NIPS 2012)
- Erik Talvitie
- [Paper]
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Subtree Replacement in Decision Tree Simplification (SDM 2012)
- Salvatore Ruggieri
- [Paper]
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Incorporating Boosted Regression Trees into Ecological Latent Variable Models (AAAI 2011)
- Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Dietterich
- [Paper]
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Syntactic Decision Tree LMs: Random Selection or Intelligent Design (EMNLP 2011)
- Denis Filimonov, Mary P. Harper
- [Paper]
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Decision tree fields (ICCV 2011)
- Sebastian Nowozin, Carsten Rother, Shai Bagon, Toby Sharp, Bangpeng Yao, Pushmeet Kohli
- [Paper]
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Confidence in Predictions from Random Tree Ensembles (ICDM 2011)
- Siddhartha Bhattacharyya
- [Paper]
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Speeding-Up Hoeffding-Based Regression Trees With Options (ICML 2011)
- Elena Ikonomovska, João Gama, Bernard Zenko, Saso Dzeroski
- [Paper]
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Density estimation trees (KDD 2011)
- Parikshit Ram, Alexander G. Gray
- [Paper]
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Bagging gradient-boosted trees for high precision, low variance ranking models (SIGIR 2011)
- Yasser Ganjisaffar, Rich Caruana, Cristina Videira Lopes
- [Paper]
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On the Complexity of Decision Making in Possibilistic Decision Trees (UAI 2011)
- Hélène Fargier, Nahla Ben Amor, Wided Guezguez
- [Paper]
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Adaptive bootstrapping of recommender systems using decision trees (WSDM 2011)
- Nadav Golbandi, Yehuda Koren, Ronny Lempel
- [Paper]
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Parallel boosted regression trees for web search ranking (WWW 2011)
- Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal, Jennifer Paykin
- [Paper]
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Discrimination Aware Decision Tree Learning (ICDM 2010)
- Faisal Kamiran, Toon Calders, Mykola Pechenizkiy
- [Paper]
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Decision Trees for Uplift Modeling (ICDM 2010)
- Piotr Rzepakowski, Szymon Jaroszewicz
- [Paper]
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Learning Markov Network Structure with Decision Trees (ICDM 2010)
- Daniel Lowd, Jesse Davis
- [Paper]
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Multivariate Dyadic Regression Trees for Sparse Learning Problems (NIPS 2010)
- Han Liu, Xi Chen
- [Paper]
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Fast and Accurate Gene Prediction by Decision Tree Classification (SDM 2010)
- Rong She, Jeffrey Shih-Chieh Chu, Ke Wang, Nansheng Chen
- [Paper]
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A Robust Decision Tree Algorithm for Imbalanced Data Sets (SDM 2010)
- Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V. Chawla
- [Paper]
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Stochastic gradient boosted distributed decision trees (CIKM 2009)
- Jerry Ye, Jyh-Herng Chow, Jiang Chen, Zhaohui Zheng
- [Paper]
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Feature selection for ranking using boosted trees (CIKM 2009)
- Feng Pan, Tim Converse, David Ahn, Franco Salvetti, Gianluca Donato
- [Paper]
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Thai Word Segmentation with Hidden Markov Model and Decision Tree (PAKDD 2009)
- Poramin Bheganan, Richi Nayak, Yue Xu
- [Paper]
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Parameter Estimdation in Semi-Random Decision Tree Ensembling on Streaming Data (PAKDD 2009)
- Pei-Pei Li, Qianhui Liang, Xindong Wu, Xuegang Hu
- [Paper]
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DTU: A Decision Tree for Uncertain Data (PAKDD 2009)
- Biao Qin, Yuni Xia, Fang Li
- [Paper]
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Predicting Future Decision Trees from Evolving Data (ICDM 2008)
- Mirko Böttcher, Martin Spott, Rudolf Kruse
- [Paper]
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Bayes optimal classification for decision trees (ICML 2008)
- Siegfried Nijssen
- [Paper]
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A New Credit Scoring Method Based on Rough Sets and Decision Tree (PAKDD 2008)
- XiYue Zhou, Defu Zhang, Yi Jiang
- [Paper]
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A Comparison of Different Off-Centered Entropies to Deal with Class Imbalance for Decision Trees (PAKDD 2008)
- Philippe Lenca, Stéphane Lallich, Thanh-Nghi Do, Nguyen-Khang Pham
- [Paper]
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BOAI: Fast Alternating Decision Tree Induction Based on Bottom-Up Evaluation (PAKDD 2008)
- Bishan Yang, Tengjiao Wang, Dongqing Yang, Lei Chang
- [Paper]
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A general framework for estimating similarity of datasets and decision trees: exploring semantic similarity of decision trees (SDM 2008)
- Irene Ntoutsi, Alexandros Kalousis, Yannis Theodoridis
- [Paper]
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ROC-tree: A Novel Decision Tree Induction Algorithm Based on Receiver Operating Characteristics to Classify Gene Expression Data (SDM 2008)
- M. Maruf Hossain, Md. Rafiul Hassan, James Bailey
- [Paper]
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Tree-based Classifiers for Bilayer Video Segmentation (CVPR 2007)
- Pei Yin, Antonio Criminisi, John M. Winn, Irfan A. Essa
- [Paper]
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Additive Groves of Regression Trees (ECML 2007)
- Daria Sorokina, Rich Caruana, Mirek Riedewald
- [Paper]
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Decision Tree Instability and Active Learning (ECML 2007)
- Kenneth Dwyer, Robert Holte
- [Paper]
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Ensembles of Multi-Objective Decision Trees (ECML 2007)
- Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzeroski
- [Paper]
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Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble (ECML 2007)
- Anneleen Van Assche, Hendrik Blockeel
- [Paper]
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Sample compression bounds for decision trees (ICML 2007)
- Mohak Shah
- [Paper]
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A Tighter Error Bound for Decision Tree Learning Using PAC Learnability (IJCAI 2007)
- Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
- [Paper]
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Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary (IJCAI 2007)
- Isabelle Alvarez, Stephan Bernard, Guillaume Deffuant
- [Paper]
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Real Boosting a la Carte with an Application to Boosting Oblique Decision Tree (IJCAI 2007)
- Claudia Henry, Richard Nock, Frank Nielsen
- [Paper]
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Scalable look-ahead linear regression trees (KDD 2007)
- David S. Vogel, Ognian Asparouhov, Tobias Scheffer
- [Paper]
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Mining optimal decision trees from itemset lattices (KDD 2007)
- Siegfried Nijssen, Élisa Fromont
- [Paper]
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A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees (PAKDD 2007)
- Zhouxuan Teng, Wenliang Du
- [Paper]
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Decision Tree Methods for Finding Reusable MDP Homomorphisms (AAAI 2006)
- Alicia P. Wolfe, Andrew G. Barto
- [Paper]
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A Fast Decision Tree Learning Algorithm (AAAI 2006)
- Jiang Su, Harry Zhang
- [Paper]
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Anytime Induction of Decision Trees: An Iterative Improvement Approach (AAAI 2006)
- Saher Esmeir, Shaul Markovitch
- [Paper]
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When a Decision Tree Learner Has Plenty of Time (AAAI 2006)
- Saher Esmeir, Shaul Markovitch
- [Paper]
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Decision Trees for Functional Variables (ICDM 2006)
- Suhrid Balakrishnan, David Madigan
- [Paper]
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Cost-Sensitive Decision Tree Learning for Forensic Classification (ECML 2006)
- Jason V. Davis, Jungwoo Ha, Christopher J. Rossbach, Hany E. Ramadan, Emmett Witchel
- [Paper]
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Improving the Ranking Performance of Decision Trees (ECML 2006)
- Bin Wang, Harry Zhang
- [Paper]
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A general framework for accurate and fast regression by data summarization in random decision trees (KDD 2006)
- Wei Fan, Joe McCloskey, Philip S. Yu
- [Paper]
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Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction (PAKDD 2006)
- Phu Chien Nguyen, Kouzou Ohara, Akira Mogi, Hiroshi Motoda, Takashi Washio
- [Paper]
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Variable Randomness in Decision Tree Ensembles (PAKDD 2006)
- Fei Tony Liu, Kai Ming Ting
- [Paper]
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Generalized Conditional Entropy and a Metric Splitting Criterion for Decision Trees (PAKDD 2006)
- Dan A. Simovici, Szymon Jaroszewicz
- [Paper]
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Decision Trees for Hierarchical Multilabel Classification: A Case Study in Functional Genomics (PKDD 2006)
- Hendrik Blockeel, Leander Schietgat, Jan Struyf, Saso Dzeroski, Amanda Clare
- [Paper]
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k-Anonymous Decision Tree Induction (PKDD 2006)
- Arik Friedman, Assaf Schuster, Ran Wolff
- [Paper]
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Representing Conditional Independence Using Decision Trees (AAAI 2005)
- Jiang Su, Harry Zhang
- [Paper]
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Use of Expert Knowledge for Decision Tree Pruning (AAAI 2005)
- Jingfeng Cai, John Durkin
- [Paper]
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Model Selection in Omnivariate Decision Trees (ECML 2005)
- Olcay Taner Yildiz, Ethem Alpaydin
- [Paper]
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Combining Bias and Variance Reduction Techniques for Regression Trees (ECML 2005)
- Yuk Lai Suen, Prem Melville, Raymond J. Mooney
- [Paper]
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Simple Test Strategies for Cost-Sensitive Decision Trees (ECML 2005)
- Shengli Sheng, Charles X. Ling, Qiang Yang
- [Paper]
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Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches (ICDM 2005)
- Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Yu, Kevin Drummey
- [Paper]
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Exploiting Informative Priors for Bayesian Classification and Regression Trees (IJCAI 2005)
- Nicos Angelopoulos, James Cussens
- [Paper]
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Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility (IJCAI 2005)
- Isabelle Alvarez, Stephan Bernard
- [Paper]
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Maximizing Tree Diversity by Building Complete-Random Decision Trees (PAKDD 2005)
- Fei Tony Liu, Kai Ming Ting, Wei Fan
- [Paper]
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Hybrid Cost-Sensitive Decision Tree (PKDD 2005)
- Shengli Sheng, Charles X. Ling
- [Paper]
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Tree2 - Decision Trees for Tree Structured Data (PKDD 2005)
- Björn Bringmann, Albrecht Zimmermann
- [Paper]
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Building Decision Trees on Records Linked through Key References (SDM 2005)
- Ke Wang, Yabo Xu, Philip S. Yu, Rong She
- [Paper]
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Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases (SDM 2005)
- Amir Bar-Or, Ran Wolff, Assaf Schuster, Daniel Keren
- [Paper]
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Boosted decision trees for word recognition in handwritten document retrieval (SIGIR 2005)
- Nicholas R. Howe, Toni M. Rath, R. Manmatha
- [Paper]
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On the Optimality of Probability Estimation by Random Decision Trees (AAAI 2004)
- Wei Fan
- [Paper]
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Occam's Razor and a Non-Syntactic Measure of Decision Tree Complexity (AAAI 2004)
- Goutam Paul
- [Paper]
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Using Emerging Patterns and Decision Trees in Rare-Class Classification (ICDM 2004)
- Hamad Alhammady, Kotagiri Ramamohanarao
- [Paper]
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Orthogonal Decision Trees (ICDM 2004)
- Hillol Kargupta, Haimonti Dutta
- [Paper]
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Improving the Reliability of Decision Tree and Naive Bayes Learners (ICDM 2004)
- David George Lindsay, Siân Cox
- [Paper]
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Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data (ICDM 2004)
- Chris Giannella, Kun Liu, Todd Olsen, Hillol Kargupta
- [Paper]
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Decision Tree Evolution Using Limited Number of Labeled Data Items from Drifting Data Streams (ICDM 2004)
- Wei Fan, Yi-an Huang, Philip S. Yu
- [Paper]
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Lookahead-based algorithms for anytime induction of decision trees (ICML 2004)
- Saher Esmeir, Shaul Markovitch
- [Paper]
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Decision trees with minimal costs (ICML 2004)
- Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
- [Paper]
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Training conditional random fields via gradient tree boosting (ICML 2004)
- Thomas G. Dietterich, Adam Ashenfelter, Yaroslav Bulatov
- [Paper]
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Detecting Structural Metadata with Decision Trees and Transformation-Based Learning (NAACL 2004)
- Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf
- [Paper]
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On the Adaptive Properties of Decision Trees (NIPS 2004)
- Clayton D. Scott, Robert D. Nowak
- [Paper]
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A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index (PAKDD 2004)
- Dan A. Simovici, Szymon Jaroszewicz
- [Paper]
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Rademacher Penalization over Decision Tree Prunings (ECML 2003)
- Matti Kääriäinen, Tapio Elomaa
- [Paper]
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Ensembles of Cascading Trees (ICDM 2003)
- Jinyan Li, Huiqing Liu
- [Paper]
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Postprocessing Decision Trees to Extract Actionable Knowledge (ICDM 2003)
- Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
- [Paper]
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K-D Decision Tree: An Accelerated and Memory Efficient Nearest Neighbor Classifier (ICDM 2003)
- Tomoyuki Shibata, Takekazu Kato, Toshikazu Wada
- [Paper]
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Identifying Markov Blankets with Decision Tree Induction (ICDM 2003)
- Lewis J. Frey, Douglas H. Fisher, Ioannis Tsamardinos, Constantin F. Aliferis, Alexander R. Statnikov
- [Paper]
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Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy (ICDM 2003)
- Jin Huang, Jingjing Lu, Charles X. Ling
- [Paper]
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Boosting Lazy Decision Trees (ICML 2003)
- Xiaoli Zhang Fern, Carla E. Brodley
- [Paper]
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Decision Tree with Better Ranking (ICML 2003)
- Charles X. Ling, Robert J. Yan
- [Paper]
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Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction (IJCAI 2003)
- David Page, Soumya Ray
- [Paper]
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Efficient decision tree construction on streaming data (KDD 2003)
- Ruoming Jin, Gagan Agrawal
- [Paper]
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PaintingClass: interactive construction%2C visualization and exploration of decision trees (KDD 2003)
- Soon Tee Teoh, Kwan-Liu Ma
- [Paper]
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Accurate decision trees for mining high-speed data streams (KDD 2003)
- João Gama, Ricardo Rocha, Pedro Medas
- [Paper]
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Near-Minimax Optimal Classification with Dyadic Classification Trees (NIPS 2003)
- Clayton D. Scott, Robert D. Nowak
- [Paper]
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Improving Performance of Decision Tree Algorithms with Multi-edited Nearest Neighbor Rule (PAKDD 2003)
- Chenzhou Ye, Jie Yang, Lixiu Yao, Nian-yi Chen
- [Paper]
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Arbogodai: a New Approach for Decision Trees (PKDD 2003)
- Djamel A. Zighed, Gilbert Ritschard, Walid Erray, Vasile-Marian Scuturici
- [Paper]
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Communication and Memory Efficient Parallel Decision Tree Construction (SDM 2003)
- Ruoming Jin, Gagan Agrawal
- [Paper]
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Decision Tree Classification of Spatial Data Patterns from Videokeratography using Zernicke Polynomials (SDM 2003)
- Michael D. Twa, Srinivasan Parthasarathy, Thomas W. Raasch, Mark Bullimore
- [Paper]
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Multiclass Alternating Decision Trees (ECML 2002)
- Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall
- [Paper]
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Heterogeneous Forests of Decision Trees (ICANN 2002)
- Krzysztof Grabczewski, Wlodzislaw Duch
- [Paper]
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Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (ICDM 2002)
- Jinyan Li, Limsoon Wong
- [Paper]
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Solving the Fragmentation Problem of Decision Trees by Discovering Boundary Emerging Patterns (ICDM 2002)
- Jinyan Li, Limsoon Wong
- [Paper]
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Learning Decision Trees Using the Area Under the ROC Curve (ICML 2002)
- César Ferri, Peter A. Flach, José Hernández-Orallo
- [Paper]
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Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction (ICML 2002)
- Fumio Takechi, Einoshin Suzuki
- [Paper]
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Efficiently mining frequent trees in a forest (KDD 2002)
- Mohammed Javeed Zaki
- [Paper]
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SECRET: a scalable linear regression tree algorithm (KDD 2002)
- Alin Dobra, Johannes Gehrke
- [Paper]
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Instability of decision tree classification algorithms (KDD 2002)
- Ruey-Hsia Li, Geneva G. Belford
- [Paper]
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Extracting decision trees from trained neural networks (KDD 2002)
- Olcay Boz
- [Paper]
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Dyadic Classification Trees via Structural Risk Minimization (NIPS 2002)
- Clayton D. Scott, Robert D. Nowak
- [Paper]
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Approximate Splitting for Ensembles of Trees using Histograms (SDM 2002)
- Chandrika Kamath, Erick Cantú-Paz, David Littau
- [Paper]
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Japanese Named Entity Recognition based on a Simple Rule Generator and Decision Tree Learning (ACL 2001)
- Hideki Isozaki
- [Paper]
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Message Length as an Effective Ockham's Razor in Decision Tree Induction (AISTATS 2001)
- Scott Needham, David L. Dowe
- [Paper]
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SQL Database Primitives for Decision Tree Classifiers (CIKM 2001)
- Kai-Uwe Sattler, Oliver Dunemann
- [Paper]
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A Unified Framework for Evaluation Metrics in Classification Using Decision Trees (ECML 2001)
- Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish
- [Paper]
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Backpropagation in Decision Trees for Regression (ECML 2001)
- Victor Medina-Chico, Alberto Suárez, James F. Lutsko
- [Paper]
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Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction (ECML 2001)
- Branko Kavsek, Nada Lavrac, Anuska Ferligoj
- [Paper]
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Mining Decision Trees from Data Streams in a Mobile Environment (ICDM 2001)
- Hillol Kargupta, Byung-Hoon Park
- [Paper]
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Efficient Determination of Dynamic Split Points in a Decision Tree (ICDM 2001)
- David Maxwell Chickering, Christopher Meek, Robert Rounthwaite
- [Paper]
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A Comparison of Stacking with Meta Decision Trees to Bagging, Boosting, and Stacking with other Methods (ICDM 2001)
- Bernard Zenko, Ljupco Todorovski, Saso Dzeroski
- [Paper]
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Efficient algorithms for decision tree cross-validation (ICML 2001)
- Hendrik Blockeel, Jan Struyf
- [Paper]
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Bias Correction in Classification Tree Construction (ICML 2001)
- Alin Dobra, Johannes Gehrke
- [Paper]
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Breeding Decision Trees Using Evolutionary Techniques (ICML 2001)
- Athanassios Papagelis, Dimitrios Kalles
- [Paper]
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Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers (ICML 2001)
- Bianca Zadrozny, Charles Elkan
- [Paper]
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Temporal Decision Trees or the lazy ECU vindicated (IJCAI 2001)
- Luca Console, Claudia Picardi, Daniele Theseider Dupré
- [Paper]
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Data mining criteria for tree-based regression and classification (KDD 2001)
- Andreas Buja, Yung-Seop Lee
- [Paper]
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A Decision Tree of Bigrams is an Accurate Predictor of Word Sense (NAACL 2001)
- Ted Pedersen
- [Paper]
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Rule Reduction over Numerical Attributes in Decision Tree Using Multilayer Perceptron (PAKDD 2001)
- DaeEun Kim, Jaeho Lee
- [Paper]
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A Scalable Algorithm for Rule Post-pruning of Large Decision Trees (PAKDD 2001)
- Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
- [Paper]
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Optimizing the Induction of Alternating Decision Trees (PAKDD 2001)
- Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby
- [Paper]
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Interactive Construction of Decision Trees (PAKDD 2001)
- Jianchao Han, Nick Cercone
- [Paper]
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Bloomy Decision Tree for Multi-objective Classification (PKDD 2001)
- Einoshin Suzuki, Masafumi Gotoh, Yuta Choki
- [Paper]
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A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment (SDM 2001)
- Byung-Hoon Park, Rajeev Ayyagari, Hillol Kargupta
- [Paper]
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Intuitive Representation of Decision Trees Using General Rules and Exceptions (AAAI 2000)
- Bing Liu, Minqing Hu, Wynne Hsu
- [Paper]
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Tagging Unknown Proper Names Using Decision Trees (ACL 2000)
- Frédéric Béchet, Alexis Nasr, Franck Genet
- [Paper]
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Clustering Through Decision Tree Construction (CIKM 2000)
- Bing Liu, Yiyuan Xia, Philip S. Yu
- [Paper]
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Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modelling (ECML 2000)
- DaeEun Kim, Jaeho Lee
- [Paper]
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Investigation and Reduction of Discretization Variance in Decision Tree Induction (ECML 2000)
- Pierre Geurts, Louis Wehenkel
- [Paper]
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Nonparametric Regularization of Decision Trees (ECML 2000)
- Tobias Scheffer
- [Paper]
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Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria (ICML 2000)
- Chris Drummond, Robert C. Holte
- [Paper]
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Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions (ICML 2000)
- Manu Sridharan, Gerald Tesauro
- [Paper]
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Growing decision trees on support-less association rules (KDD 2000)
- Ke Wang, Senqiang Zhou, Yu He
- [Paper]
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Efficient algorithms for constructing decision trees with constraints (KDD 2000)
- Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim
- [Paper]
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Interactive Visualization in Mining Large Decision Trees (PAKDD 2000)
- Trong Dung Nguyen, Tu Bao Ho, Hiroshi Shimodaira
- [Paper]
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VQTree: Vector Quantization for Decision Tree Induction (PAKDD 2000)
- Shlomo Geva, Lawrence Buckingham
- [Paper]
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Some Enhencements of Decision Tree Bagging (PKDD 2000)
- Pierre Geurts
- [Paper]
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Combining Multiple Models with Meta Decision Trees (PKDD 2000)
- Ljupco Todorovski, Saso Dzeroski
- [Paper]
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Induction of Multivariate Decision Trees by Using Dipolar Criteria (PKDD 2000)
- Leon Bobrowski, Marek Kretowski
- [Paper]
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Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms (PKDD 2000)
- Nikos Drossos, Athanassios Papagelis, Dimitrios Kalles
- [Paper]
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Modeling decision tree performance with the power law (AISTATS 1999)
- Lewis J. Frey, Douglas H. Fisher
- [Paper]
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Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens (AISTATS 1999)
- Louis Anthony Cox Jr.
- [Paper]
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POS Tags and Decision Trees for Language Modeling (EMNLP 1999)
- Peter A. Heeman
- [Paper]
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Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees (ICML 1999)
- Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
- [Paper]
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The Alternating Decision Tree Learning Algorithm (ICML 1999)
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Boosting with Multi-Way Branching in Decision Trees (NIPS 1999)
- Yishay Mansour, David A. McAllester
- [Paper]
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Learning Sorting and Decision Trees with POMDPs (ICML 1998)
- Blai Bonet, Hector Geffner
- [Paper]
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Using a Permutation Test for Attribute Selection in Decision Trees (ICML 1998)
- Eibe Frank, Ian H. Witten
- [Paper]
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A Fast and Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization (ICML 1998)
- Michael J. Kearns, Yishay Mansour
- [Paper]
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Pessimistic decision tree pruning based Continuous-time (ICML 1997)
- Yishay Mansour
- [Paper]
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PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction (ICML 1997)
- Scott E. Decatur
- [Paper]
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Option Decision Trees with Majority Votes (ICML 1997)
- Ron Kohavi, Clayton Kunz
- [Paper]
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Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction (ICML 1997)
- Ricardo Vilalta, Larry A. Rendell
- [Paper]
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Functional Models for Regression Tree Leaves (ICML 1997)
- Luís Torgo
- [Paper]
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The Effects of Training Set Size on Decision Tree Complexity (ICML 1997)
- Tim Oates, David D. Jensen
- [Paper]
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Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis (NIPS 1997)
- Marcus Held, Joachim M. Buhmann
- [Paper]
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Data-Dependent Structural Risk Minimization for Perceptron Decision Trees (NIPS 1997)
- John Shawe-Taylor, Nello Cristianini
- [Paper]
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Generalization in Decision Trees and DNF: Does Size Matter (NIPS 1997)
- Mostefa Golea, Peter L. Bartlett, Wee Sun Lee, Llew Mason
- [Paper]
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Second Tier for Decision Trees (ICML 1996)
- Miroslav Kubat
- [Paper]
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Non-Linear Decision Trees - NDT (ICML 1996)
- Andreas Ittner, Michael Schlosser
- [Paper]
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Learning Relational Concepts with Decision Trees (ICML 1996)
- Peter Geibel, Fritz Wysotzki
- [Paper]
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A Hill-Climbing Approach for Optimizing Classification Trees (AISTATS 1995)
- Xiaorong Sun, Steve Y. Chiu, Louis Anthony Cox Jr.
- [Paper]
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An Exact Probability Metric for Decision Tree Splitting (AISTATS 1995)
- J. Kent Martin
- [Paper]
-
On Pruning and Averaging Decision Trees (ICML 1995)
- Jonathan J. Oliver, David J. Hand
- [Paper]
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On Handling Tree-Structured Attributed in Decision Tree Learning (ICML 1995)
- Hussein Almuallim, Yasuhiro Akiba, Shigeo Kaneda
- [Paper]
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Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (ICML 1995)
- Padhraic Smyth, Alexander G. Gray, Usama M. Fayyad
- [Paper]
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Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves (ICML 1995)
- David J. Lubinsky
- [Paper]
-
Efficient Algorithms for Finding Multi-way Splits for Decision Trees (ICML 1995)
- Truxton Fulton, Simon Kasif, Steven Salzberg
- [Paper]
-
Theory and Applications of Agnostic PAC-Learning with Small Decision Trees (ICML 1995)
- Peter Auer, Robert C. Holte, Wolfgang Maass
- [Paper]
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Boosting Decision Trees (NIPS 1995)
- Harris Drucker, Corinna Cortes
- [Paper]
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Using Pairs of Data-Points to Define Splits for Decision Trees (NIPS 1995)
- Geoffrey E. Hinton, Michael Revow
- [Paper]
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A New Pruning Method for Solving Decision Trees and Game Trees (UAI 1995)
- Prakash P. Shenoy
- [Paper]
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A Statistical Approach to Decision Tree Modeling (ICML 1994)
- Michael I. Jordan
- [Paper]
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In Defense of C4.5: Notes Learning One-Level Decision Trees (ICML 1994)
- Tapio Elomaa
- [Paper]
-
An Improved Algorithm for Incremental Induction of Decision Trees (ICML 1994)
- Paul E. Utgoff
- [Paper]
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Decision Tree Parsing using a Hidden Derivation Model (NAACL 1994)
- Frederick Jelinek, John D. Lafferty, David M. Magerman, Robert L. Mercer, Adwait Ratnaparkhi, Salim Roukos
- [Paper]
- Using Decision Trees to Improve Case-Based Learning (ICML 1993)
- Claire Cardie
- [Paper]
- Context Dependent Modeling of Phones in Continuous Speech Using Decision Trees (NAACL 1991)
- Lalit R. Bahl, Peter V. de Souza, P. S. Gopalakrishnan, David Nahamoo, Michael Picheny
- [Paper]
- Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications (NIPS 1989)
- Les E. Atlas, Ronald A. Cole, Jerome T. Connor, Mohamed A. El-Sharkawi, Robert J. Marks II, Yeshwant K. Muthusamy, Etienne Barnard
- [Paper]
- Multiple decision trees (UAI 1988)
- Suk Wah Kwok, Chris Carter
- [Paper]
- Decision Tree Induction Systems: A Bayesian Analysis (UAI 1987)
- Wray L. Buntine
- [Paper]