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AI-PWL

A professional words list of machine learning & deep learning
人工智能领域 专业词汇速查表

Letter A

Words Acronym Desciption
Accumulated error backpropagation - 累积误差逆传播
Activation Function - 激活函数
Adaptive Resonance Theory ART 自适应谐振理论
Addictive model - 加性学习
Adversarial Networks - 对抗网络
Affine Layer - 仿射层
Affinity matrix - 亲和矩阵
Agent - 代理 / 智能体
Algorithm - 算法
Alpha-beta pruning - α-β剪枝
Anomaly detection - 异常检测
Approximation - 近似
Area Under ROC Curve／AUC Roc - 曲线下面积
Artificial General Intelligence AGI 通用人工智能
Artificial Intelligence AI 人工智能
Association analysis - 关联分析
Attention mechanism - 注意力机制
Attribute conditional independence assumption - 属性条件独立性假设
Attribute space - 属性空间
Attribute value - 属性值
Autoencoder - 自编码器
Automatic speech recognition - 自动语音识别
Automatic summarization - 自动摘要
Average gradient - 平均梯度
Average-Pooling - 平均池化

Letter B

Words Acronym Desciption
Backpropagation Through Time - 通过时间的反向传播
Backpropagation BP 反向传播算法
Base learner - 基学习器
Base learning algorithm - 基学习算法
Batch Normalization BN 批量归一化
Bayes decision rule - 贝叶斯判定准则
Bayes Model Averaging BMA -
Bayes optimal classifier - 贝叶斯最优分类器
Bayesian decision theory - 贝叶斯决策论
Bayesian network - 贝叶斯网络
Between-class scatter matrix - 类间散度矩阵
Bias - 偏置 / 偏差
Bias-variance decomposition - 偏差-方差分解
Bias-Variance Dilemma - 偏差 – 方差困境
Bi-directional Long-Short Term Memory Bi-LSTM 双向长短期记忆
Binary classification - 二分类
Binomial test - 二项检验
Bi-partition - 二分法
Boltzmann machine - 玻尔兹曼机
Bootstrap sampling - 自助采样法／可重复采样／有放回采样
Bootstrapping - 自助法
Break-Event Point BEP 平衡点

Letter C

Words Acronym Desciption
Calibration - 校准
Cascade-Correlation - 级联相关
Categorical attribute - 离散属性
Class-conditional probability - 类条件概率
Classification and regression tree CART 分类与回归树
Classifier - 分类器
Class-imbalance - 类别不平衡
Closed -form - 闭式
Cluster - 簇/类/集群
Cluster analysis - 聚类分析
Clustering - 聚类
Clustering ensemble - 聚类集成
Co-adapting - 共适应
Coding matrix - 编码矩阵
COLT - 国际学习理论会议
Committee-based learning - 基于委员会的学习
Competitive learning - 竞争型学习
Component learner - 组件学习器
Comprehensibility - 可解释性
Computation Cost - 计算成本
Computational Linguistics - 计算语言学
Computer vision - 计算机视觉
Concept drift - 概念漂移
Concept Learning System CLS 概念学习系统
Conditional entropy - 条件熵
Conditional mutual information - 条件互信息
Conditional Probability Table CPT 条件概率表
Conditional random field CRF -
Conditional risk - 条件风险
Confidence - 置信度
Confusion matrix - 混淆矩阵
Connection weight - 连接权
Connectionism - 连结主义
Consistency - 一致性／相合性
Contingency table - 列联表
Continuous attribute - 连续属性
Convergence - 收敛
Conversational agent - 会话智能体
Convex quadratic programming - 凸二次规划
Convexity - 凸性
Convolutional neural network CNN 卷积神经网络
Co-occurrence - 同现
Correlation coefficient - 相关系数
Cosine similarity - 余弦相似度
Cost curve - 成本曲线
Cost Function - 成本函数
Cost matrix - 成本矩阵
Cost-sensitive - 成本敏感
Cross entropy - 交叉熵
Cross validation - 交叉验证
Crowdsourcing - 众包
Curse of dimensionality - 维数灾难
Cut point 截断点
Cutting plane algorithm - 割平面法

Letter D

Words Acronym Desciption
Data mining - 数据挖掘
Data set - 数据集
Decision Boundary - 决策边界
Decision stump - 决策树桩
Decision tree - 决策树／判定树
Deduction - 演绎
Deep Belief Network - 深度信念网络
Deep Convolutional Generative Adversarial Network DCGAN 深度卷积生成对抗网络
Deep learning - 深度学习
Deep neural network DNN 深度神经网络
Deep Q-Learning - 深度 Q 学习
Deep Q-Network - 深度 Q 网络
Density estimation - 密度估计
Density-based clustering - 密度聚类
Differentiable neural computer - 可微分神经计算机
Dimensionality reduction algorithm - 降维算法
Directed edge - 有向边
Disagreement measure - 不合度量
Discriminative model - 判别模型
Discriminator - 判别器
Distance measure - 距离度量
Distance metric learning - 距离度量学习
Distribution - 分布
Divergence - 散度
Diversity measure - 多样性度量／差异性度量
Domain adaption - 领域自适应
Downsampling - 下采样
D-separation （Directed separation） - 有向分离
Dual problem - 对偶问题
Dummy node - 哑结点
Dynamic Fusion - 动态融合
Dynamic programming - 动态规划

Letter E

Words Acronym Desciption
Eigenvalue decomposition - 特征值分解
Embedding - 嵌入
Emotional analysis - 情绪分析
Empirical conditional entropy - 经验条件熵
Empirical entropy - 经验熵
Empirical error - 经验误差
Empirical risk - 经验风险
End-to-End - 端到端
Energy-based model - 基于能量的模型
Ensemble learning - 集成学习
Ensemble pruning - 集成修剪
Error Correcting Output Codes／ECOC - 纠错输出码
Error rate 错误率
Error-ambiguity decomposition - 误差-分歧分解
Euclidean distance - 欧氏距离
Evolutionary computation - 演化计算
Expectation-Maximization - 期望最大化
Expected loss - 期望损失
Exploding Gradient Problem - 梯度爆炸问题
Exponential loss function - 指数损失函数
Extreme Learning Machine ELM 超限学习机

Letter F

Words Acronym Desciption
Factorization - 因子分解
False negative - 假负类
False positive - 假正类
False Positive Rate FPR 假正例率
Feature engineering - 特征工程
Feature selection - 特征选择
Feature vector - 特征向量
Featured Learning - 特征学习
Feedforward Neural Networks FNN 前馈神经网络
Fine-tuning - 微调
Flipping output - 翻转法
Fluctuation - 震荡
Forward stagewise algorithm - 前向分步算法
Frequentist - 频率主义学派
Full-rank matrix - 满秩矩阵
Functional neuron - 功能神经元

Letter G

Words Acronym Desciption
Gain ratio - 增益率
Game theory - 博弈论
Gaussian kernel function - 高斯核函数
Gaussian Mixture Model - 高斯混合模型
General Problem Solving - 通用问题求解
Generalization - 泛化
Generalization error - 泛化误差
Generalization error bound - 泛化误差上界
Generalized Lagrange function - 广义拉格朗日函数
Generalized linear model - 广义线性模型
Generalized Rayleigh quotient - 广义瑞利商
Generative Adversarial Networks GAN 生成对抗网络
Generative Model - 生成模型
Generator - 生成器
Genetic Algorithm GA 遗传算法
Gibbs sampling - 吉布斯采样
Gini index - 基尼指数
Global minimum - 全局最小
Global Optimization - 全局优化
Gradient boosting - 梯度提升
Gradient Descent - 梯度下降
Graph theory - 图论
Ground-truth - 真相／真实

Letter H

Words Acronym Desciption
Hard margin - 硬间隔
Hard voting - 硬投票
Harmonic mean - 调和平均
Hesse matrix - 海塞矩阵
Hidden dynamic model - 隐动态模型
Hidden layer - 隐藏层
Hidden Markov Model HMM 隐马尔可夫模型
Hierarchical clustering - 层次聚类
Hilbert space - 希尔伯特空间
Hinge loss function - 合页损失函数
Hold-out - 留出法
Homogeneous - 同质
Hybrid computing - 混合计算
Hyperparameter - 超参数
Hypothesis - 假设
Hypothesis test - 假设验证

Letter I

Words Acronym Desciption
ICML - 国际机器学习会议
Improved iterative scaling IIS 改进的迭代尺度法
Incremental learning - 增量学习
Independent and identically distributed/i.i.d. - 独立同分布
Independent Component Analysis ICA 独立成分分析
Indicator function - 指示函数
Individual learner - 个体学习器
Induction - 归纳
Inductive bias - 归纳偏好
Inductive learning - 归纳学习
Inductive Logic Programming ILP 归纳逻辑程序设计
Information entropy - 信息熵
Information gain - 信息增益
Input layer - 输入层
Insensitive loss - 不敏感损失
Inter-cluster similarity - 簇间相似度
International Conference for Machine Learning ICML 国际机器学习大会
Intra-cluster similarity - 簇内相似度
Intrinsic value - 固有值
Isometric Mapping/Isomap - 等度量映射
Isotonic regression - 等分回归
Iterative Dichotomiser - 迭代二分器

Letter K

Words Acronym Desciption
Kernel method - 核方法
Kernel trick - 核技巧
Kernelized Linear Discriminant Analysis／KLDA - 核线性判别分析
K-fold cross validation - k 折交叉验证／k 倍交叉验证
K-Means Clustering - K – 均值聚类
K-Nearest Neighbours Algorithm KNN K近邻算法
Knowledge base - 知识库
Knowledge Representation - 知识表征

Letter L

Words Acronym Desciption
Label space - 标记空间
Lagrange duality - 拉格朗日对偶性
Lagrange multiplier - 拉格朗日乘子
Laplace smoothing - 拉普拉斯平滑
Laplacian correction - 拉普拉斯修正
Latent Dirichlet Allocation - 隐狄利克雷分布
Latent semantic analysis - 潜在语义分析
Latent variable - 隐变量
Lazy learning - 懒惰学习
Learner - 学习器
Learning by analogy - 类比学习
Learning rate - 学习率
Learning Vector Quantization LVQ 学习向量量化
Least squares regression tree - 最小二乘回归树
Leave-One-Out LOO 留一法
linear chain conditional random field - 线性链条件随机场
Linear Discriminant Analysis LDA 线性判别分析
Linear model - 线性模型
Linear Regression - 线性回归
Link function - 联系函数
Local Markov property - 局部马尔可夫性
Local minimum - 局部最小
Log likelihood - 对数似然
Log odds／logit - 对数几率
Logistic Regression - Logistic 回归
Log-likelihood - 对数似然
Log-linear regression - 对数线性回归
Long-Short Term Memory LSTM 长短期记忆
Loss function - 损失函数

Letter M

Words Acronym Desciption
Machine translation MT 机器翻译
Macron-P - 宏查准率
Macron-R - 宏查全率
Majority voting - 绝对多数投票法
Manifold assumption - 流形假设
Manifold learning - 流形学习
Margin theory - 间隔理论
Marginal distribution - 边际分布
Marginal independence - 边际独立性
Marginalization - 边际化
Markov Chain Monte Carlo MCMC 马尔可夫链蒙特卡罗方法
Markov Random Field - 马尔可夫随机场
Maximal clique - 最大团
Maximum Likelihood Estimation MLE -
Maximum margin - 最大间隔
Maximum weighted spanning tree - 最大带权生成树
Max-Pooling - 最大池化
Mean squared error - 均方误差
Meta-learner - 元学习器
Metric learning - 度量学习
Micro-P - 微查准率
Micro-R - 微查全率
Minimal Description Length MDL 最小描述长度
Minimax game - 极小极大博弈
Misclassification cost - 误分类成本
Mixture of experts - 混合专家
Momentum - 动量
Moral graph - 道德图／端正图
Multi-class classification - 多分类
Multi-document summarization - 多文档摘要
Multi-layer feedforward neural networks - 多层前馈神经网络
Multilayer Perceptron MLP 多层感知器
Multimodal learning - 多模态学习
Multiple Dimensional Scaling - 多维缩放
Multiple linear regression - 多元线性回归
Multi-response Linear Regression MLR 多响应线性回归
Mutual information - 互信息

Letter N

Words Acronym Desciption
Naive bayes - 朴素贝叶斯
Naive Bayes Classifier - 朴素贝叶斯分类器
Named entity recognition - 命名实体识别
Nash equilibrium - 纳什均衡
Natural language generation NLG 自然语言生成
Natural language processing - 自然语言处理
Negative class - 负类
Negative correlation - 负相关法
Negative Log Likelihood - 负对数似然
Neighbourhood Component Analysis NCA 近邻成分分析
Neural Machine Translation - 神经机器翻译
Neural Turing Machine - 神经图灵机
Newton method - 牛顿法
NIPS - 国际神经信息处理系统会议
No Free Lunch Theorem／NFL - 没有免费的午餐定理
Noise-contrastive estimation - 噪音对比估计
Nominal attribute - 列名属性
Non-convex optimization - 非凸优化
Nonlinear model - 非线性模型
Non-metric distance - 非度量距离
Non-negative matrix factorization - 非负矩阵分解
Non-ordinal attribute - 无序属性
Non-Saturating Game - 非饱和博弈
Norm - 范数
Normalization - 归一化
Nuclear norm - 核范数
Numerical attribute - 数值属性

Letter O

Words Acronym Desciption
Objective function - 目标函数
Oblique decision tree - 斜决策树
Occam’s razor - 奥卡姆剃刀
Odds - 几率
Off-Policy - 离策略
One shot learning - 一次性学习
One-Dependent Estimator／ODE - 独依赖估计
On-Policy - 在策略
Ordinal attribute - 有序属性
Out-of-bag estimate - 包外估计
Output layer - 输出层
Output smearing - 输出调制法
Overfitting - 过拟合／过配
Oversampling - 过采样

Letter P

Words Acronym Desciption
Paired t-test - 成对 t 检验
Pairwise - 成对型
Pairwise Markov property - 成对马尔可夫性
Parameter - 参数
Parameter estimation - 参数估计
Parameter tuning - 调参
Parse tree - 解析树
Particle Swarm Optimization PSO 粒子群优化算法
Part-of-speech tagging - 词性标注
Perceptron - 感知机
Performance measure - 性能度量
Plug and Play Generative Network - 即插即用生成网络
Plurality voting - 相对多数投票法
Polarity detection - 极性检测
Polynomial kernel function - 多项式核函数
Pooling - 池化
Positive class - 正类
Positive definite matrix - 正定矩阵
Post-hoc test - 后续检验
Post-pruning - 后剪枝
potential function - 势函数
Precision - 查准率／准确率
Prepruning - 预剪枝
Principal component analysis PCA 主成分分析
Principle of multiple explanations - 多释原则
Prior - 先验
Probability Graphical Model - 概率图模型
Proximal Gradient Descent PGD 近端梯度下降
Pruning - 剪枝
Pseudo-label - 伪标记

Letter Q

Words Acronym Desciption
Quantized Neural Network - 量子化神经网络
Quantum computer - 量子计算机
Quantum Computing - 量子计算
Quasi Newton method - 拟牛顿法

Letter R

Words Acronym Desciption
Radial Basis Function／RBF - 径向基函数
Random Forest Algorithm - 随机森林算法
Random walk - 随机漫步
Recall - 查全率／召回率
Receiver Operating Characteristic ROC 受试者工作特征
Rectified Linear Unit ReLU 线性修正单元
Recurrent Neural Network - 循环神经网络
Recursive neural network - 递归神经网络
Reference model - 参考模型
Regression - 回归
Regularization - 正则化
Reinforcement learning RL 强化学习
Representation learning - 表征学习
Representer theorem - 表示定理
reproducing kernel Hilbert space RKHS 再生核希尔伯特空间
Re-sampling - 重采样法
Rescaling - 再缩放
Residual Mapping - 残差映射
Residual Network - 残差网络
Restricted Boltzmann Machine RBM 受限玻尔兹曼机
Restricted Isometry Property RIP 限定等距性
Re-weighting - 重赋权法
Robustness - 稳健性/鲁棒性
Root node - 根结点
Rule Engine - 规则引擎
Rule learning - 规则学习

Letter S

Words Acronym Desciption
Saddle point - 鞍点
Sample space - 样本空间
Sampling - 采样
Score function - 评分函数
Self-Driving - 自动驾驶
Self-Organizing Map／SOM - 自组织映射
Semi-naive Bayes classifiers - 半朴素贝叶斯分类器
Semi-Supervised Learning - 半监督学习
semi-Supervised Support Vector Machine - 半监督支持向量机
Sentiment analysis - 情感分析
Separating hyperplane - 分离超平面
Sigmoid function - Sigmoid 函数
Similarity measure - 相似度度量
Simulated annealing - 模拟退火
Simultaneous localization and mapping - 同步定位与地图构建
Singular Value Decomposition SVD 奇异值分解
Slack variables - 松弛变量
Smoothing - 平滑
Soft margin - 软间隔
Soft margin maximization - 软间隔最大化
Soft voting - 软投票
Sparse representation - 稀疏表征
Sparsity - 稀疏性
Specialization - 特化
Spectral Clustering - 谱聚类
Speech Recognition - 语音识别
Splitting variable - 切分变量
Squashing function - 挤压函数
Stability-plasticity dilemma - 可塑性-稳定性困境
Statistical learning - 统计学习
Status feature function - 状态特征函
Stochastic gradient descent - 随机梯度下降
Stratified sampling - 分层采样
Structural risk - 结构风险
Structural risk minimization SRM 结构风险最小化
Subspace - 子空间
Supervised learning - 监督学习／有导师学习
support vector expansion - 支持向量展式
Support Vector Machine SVM 支持向量机
Surrogat loss - 替代损失
Surrogate function - 替代函数
Symbolic learning - 符号学习
Symbolism - 符号主义
Synset - 同义词集

Letter T

Words Acronym Desciption
T-Distribution Stochastic Neighbour Embedding t-SNE T–分布随机近邻嵌入
Tensor - 张量
Tensor Processing Units TPU 张量处理单元
The least square method - 最小二乘法
Threshold - 阈值
Threshold logic unit - 阈值逻辑单元
Threshold-moving - 阈值移动
Time Step - 时间步骤
Tokenization - 标记化
Training error - 训练误差
Training instance - 训练示例／训练例
Transductive learning - 直推学习
Transfer learning - 迁移学习
Treebank - 树库
Tria-by-error - 试错法
True negative - 真负类
True positive - 真正类
True Positive Rate TPR 真正例率
Turing Machine - 图灵机
Twice-learning - 二次学习

Letter U

Words Acronym Desciption
Underfitting - 欠拟合／欠配
Undersampling - 欠采样
Understandability - 可理解性
Unequal cost - 非均等代价
Unit-step function - 单位阶跃函数
Univariate decision tree - 单变量决策树
Unsupervised learning - 无监督学习／无导师学习
Unsupervised layer-wise training - 无监督逐层训练
Upsampling 上采样

Letter V

Words Acronym Desciption
Vanishing Gradient Problem - 梯度消失问题
Variational inference - 变分推断
VC Theory - VC维理论
Version space - 版本空间
Viterbi algorithm - 维特比算法
Von Neumann architecture - 冯 · 诺伊曼架构

Letter W

Words Acronym Desciption
Wasserstein GAN WGAN Wasserstein生成对抗网络
Weak learner - 弱学习器
Weight - 权重
Weight sharing - 权共享
Weighted voting - 加权投票法
Within-class scatter matrix - 类内散度矩阵
Word embedding - 词嵌入
Word sense disambiguation - 词义消歧

Letter Z

Words Acronym Desciption
Zero-data learning - 零数据学习
Zero-shot learning - 零次学习

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