- Calibrating Probability Estimation Trees using Venn-Abers Predictors
- Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization
- Heterogeneous Forests of Decision Trees
- Single target tracking using adaptive clustered decision trees and dynamic multi-level appearance models
- R,ctrofitting Decision Tree Classifiers [Jsing Kernel Density Estimation
- Complexity of Solving Decision Trees with Skew-Symmetric Bilinear Utility
- Theory and Applications of Agnostic PAC-Learning with Small Decision Trees
- Keep the Decision Tree and Estimate the Class Probabilities Using its Decision Boundary
- Real Boosting a la Carte with an Application to Boosting Oblique Decision Trees
- Decision Trees with Minimal Costs
- A Tighter Error Bound for Decision Tree Learning Using PAC Learnability
- Speeding up Very Fast Decision Tree with Low Computational Cost
- Learning Optimal Decision Trees with SAT
- Inter-node Hellinger Distance based Decision Tree
- Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples
- Speeding Up Hoeffding-Based Regression Trees with Options
- Bayes Optimal Classification for Decision Trees
- PyDL8.5: a Library for Learning Optimal Decision Trees
- Exploiting Informative Priors for Bayesian Classification and Regression Trees
- The return of ADABOOST.MH: multi-class Hamming trees
- Ranking Cases with Decision Trees: a Geometric Method that Preserves Intelligibility
- Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
- A Unified Framework for Classification of Methods for Benefit-Risk Assessment
- Incorporating Boosted Regression Trees into Ecological Latent Variable Models
- Optimization of Hierarchical Regression Model with Application to Optimizing Multi-Response Regression K-ary Trees
- Extracting decision trees from trained neural networks
- Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees
- MERCS: Multi-Directional Ensembles of Regression and Classification Trees
- Decision trees for uplift modeling with single and multiple treatments
- Occam's Razor and a Non-syntactic Measure of Decision Tree Complexity
- A Fast Decision Tree Learning Algorithm
- Anytime Induction of Decision Trees: an Iterative Improvement Approach
- Decision Tree Methods for Finding Reusable MDP Homomorphisms
- When a Decision Tree Learner Has Plenty of Time
- Strategic Sequences of Arguments for Persuasion Using Decision Trees
- Abstract Interpretation of Decision Tree Ensemble Classifiers
- Efficient Inference of Optimal Decision Trees
- Representing Conditional Independence Using Decision Trees
- Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments
- Quickly Boosting Decision Trees - Pruning Underachieving Features Early
- The Alternating Decision Tree Learning Algorithm
- Bagging Gradient-Boosted Trees for High Precision, Low Variance Ranking Models
- Using Pairs of Data-Points to Define Splits for Decision Trees
- Efficient Algorithms for Decision Tree Cross-validation
- BoostVHT: Boosting Distributed Streaming Decision Trees
- Breeding Decision Trees Using Evolutionary Techniques
- Realization of Random Forest for Real-Time Evaluation through Tree Framing
- Combining Bias and Variance Reduction Techniques for Regression Trees
- Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
- Adversarial Training of Gradient-Boosted Decision Trees
- SQL Database Primitives for Decision Tree Classifiers
- Learning Multiple-Question Decision Trees for Cold-Start Recommendation
- Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees
- Data Mining Criteria for Tree-Based Regression and Classification
- Cost-Sensitive Decision Tree Learning for Forensic Classification
- Abstract Interpretation of Decision Tree Ensemble Classifiers
- Density Estimation Trees
- Focal-Test-Based Spatial Decision Tree Learning: A Summary of Results
- Decision Tree Instability and Active Learning
- Multiclass Alternating Decision Trees
- Lookahead-based Algorithms for Anytime Induction of Decision Trees
- Face Alignment using Cascade Gaussian Process Regression Trees
- Accurate Robust and Efficient Error Estimation for Decision Trees
- Decision Trees for Functional Variables
- Parallel Boosted Regression Trees for Web Search Ranking
- Fast and Accurate Gene Prediction by Decision Tree Classification
- Generalized Entropy and Decision Trees
- Context Dependent Modeling of Phones in Continuous Speech Using Decision Trees
- Scalable Feature Selection for (Multitask) Gradient Boosted Trees
- Learning Markov Network Structure with Decision Trees
- Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions
- Boosting Lazy Decision Trees
- Decision Tree with Better Ranking
- Learning sorting and decision trees with POMDPs
- Bias Correction in Classification Tree Construction
- Learning Decision Trees Using the Area Under the ROC Curve
- Seeing the Forest through the Trees Learning a Comprehensible Model from a First Order Ensemble
- Regression Tree Fields— An Efficient, Non-parametric Approach to Image Labeling Problems
- Discrimination Aware Decision Tree Learning
- Consensus Decision Trees: Using Consensus Hierarchical Clustering for Data Relabelling and Reduction
- RapidScorer: Fast Tree Ensemble Evaluation by Maximizing Compactness in Data Level Parallelization
- Efficient Algorithms for Constructing Decision Trees with Constraints
- Growing Decision Trees On Support-Less Association Rules
- Mining Optimal Decision Trees from Itemset Lattices
- Scalable Look-Ahead Linear Regression Trees
- A Decision Tree Framework for Spatiotemporal Sequence Prediction
- Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modeling
- On Building Decision Trees from Large-scale Data in Applications of On-line Advertising
- Functional Transparency for Structured Data: a Game-Theoretic Approach
- Enhancing Very Fast Decision Trees with Local Split-Time Predictions
- Training Conditional Random Fields via Gradient Tree Boosting
- Modeling decision tree performance with the power law
- Learning Max-Margin Tree Predictors
- Active Learning for Non-Parametric Regression Using Purely Random Trees
- CatBoost: unbiased boosting with categorical features
- Multi-Layered Gradient Boosting Decision Trees
- Optimal Decision Tree with Noisy Outcomes
- Optimal Sparse Decision Trees
- Regularized Gradient Boosting
- Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
- Near-Minimax Optimal Classification with Dyadic Classification Trees
- From Isolation to Cooperation: An Alternative View of a System of Experts
- Generalization in decision trees and DNF: Does size matter?
- Unsupervised On-Line Learning of Decision Trees for Hierarchical Data Analysis
- Boosting with Multi-Way Branching in Decision Trees
- Dyadic Classification Trees via Structural Risk Minimization
- On the Adaptive Properties of Decision Trees
- Multivariate Dyadic Regression Trees for Sparse Learning Problems
- Decision Tree Fields
- Optimal Action Extraction for Random Forests and Boosted Trees
- Oblique Decision Trees from Derivatives of ReLU Networks
- Orthogonal Decision Trees
- GB-CENT: Gradient Boosted Categorical Embedding and Numerical Trees
- Constructing Decision Trees for Graph-Structured Data by Chunkingless Graph-Based Induction
- Hybrid Cost-sensitive Decision Tree
- A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
- XGBoost: A Scalable Tree Boosting System
- Enumerating Distinct Decision Trees
- Use of Expert Knowledge for Decision Tree Pruning
- A Fourier Analysis Based Approach to Learning Decision Trees in a Distributed Environment
- A Robust Decision Tree Algorithm for Imbalanced Data Sets
- Subtree Replacement in Decision Tree Simplification
- SECRET: A Scalable Linear Regression Tree Algorithm
- Entropy evaluation based on confidence intervals of frequency estimates: Application to the learning of decision trees
- Privacy-aware Ranking with Tree Ensembles on the Cloud
- Tracking-by-Segmentation with Online Gradient Boosting Decision Tree
- Learning optimal classification trees using a binary linear program formulation
- Learning Optimal Decision Trees Using Caching Branch-and-Bound Search
- Model Selection in Omnivariate Decision Trees
- Arbogodai, a New Approach for Decision Trees
- Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction
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