人工智能专业词汇

1、Letter AAccumulated 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 a -臼剪枝Anomaly detection 异常检测Approximation 近似Area Under ROC Curve /

2、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 自动语音识另0Automatic summariza

3、tion 自动摘要Average gradient 平均梯度Average-Pooling 平均池化Letter BBackpropagation Through Time通过时间的反向传播Backpropagation/BP 反向传播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 贝叶斯模型平均Bayes optimal classifier贝叶斯最优分类器Bayesian decisio

4、n 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-方差分舟军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 二分类二项检验 Binomial test二分法 Bi-partition玻尔兹曼机 Boltzmann machine自助采样法/可重复采样/有放回采样Boo

5、tstrap sampling自助法 BootstrappingBEP 平衡点 / Break-Event PointLetter CCalibration 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 闭式集群类簇/Cluster聚类分析 Cluster analys

6、is聚类 Clustering聚类集成 Clustering ensemble共适应 Co-adapting编码矩阵Coding matrix国际学习理论会议COLT基于委员会的学习Committee-based learning竞争型学习 Competitive learning件学习器 Component learner 组 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

7、 System /CLS 概念学习系统 条件熵 Conditional entropy条件互信息 Conditional mutual information条件概率表 / CPT Conditional Probability Table 条件随机场 Conditional random field/CRFConditional risk 条件风险 Confidence 置信度 Confusion matrix 混淆矩阵连接权 Connection weight连结主义 Connectionism一致性/相合性ConsistencyContingency table 列联表 连续属性 Con

8、tinuous attributeConvergence 收敛会话智能体 Conversational agent2Convex 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 v

9、alidation 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 DData 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

10、 learning 深度学习 深度神经网络 Deep neural network/DNN学习 Deep Q-Learning 深度 Q网络深度 Q Deep Q-Network密度估计 Density estimationDensity-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 度量判别模型 Discriminative model判别器 Discr

11、iminatorDistance measure 距离度量 Distance metric learning 距离度量学习 Distribution 分布 散度 DivergenceDiversity measure多样性度量/差异性度量 Domain adaption领域自适应 Downsampling下采 样3有向分离)D-separation (Directed separation 对偶问题 Dual problem哑结点Dummy nodeDynamic Fusion 动态融合 Dynamic programming 动态规划 Letter EEigenvalue decomposi

12、tion 特征值分解 Embedding 嵌入 Emotional analysis 情绪分析经验条件 熵 Empirical conditional entropyEmpirical entropy 经验熵 Empirical error 经验误差 Empirical risk 经验风险 End-to-End 端到端 基于能量的模型Energy-based model集成学习 Ensemble learning集成修剪 Ensemble pruning纠错输出码 Error Correcting Output Codes / ECOC错误率Error rate分歧分解误差-Error-amb

13、iguity decomposition欧氏距离 Euclidean distance演化计算 Evolutionary computation期望最大化 Expectation-MaximizationExpected 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 FFactorization 因子分解 假负类 False negative 彳假正类 False positive假正例率 False

14、Positive Rate/FPR特征工程 Feature engineering特征选择 Feature selectionFeature 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震荡前向分步算法Forward stagewise algorithmFrequentist频率主义学派Full-rank matrix满秩矩阵Functional neuron功能神经元4Letter G益率Gain rat

15、io增Game theory博弈论Gaussian kernel function高斯核函数高斯混合模型 Gaussian Mixture Model通用问题求解 General Problem SolvingGeneralization 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 广义线性模型 Generalized linear model广义瑞利商 Generalized Rayleigh quotientGenerative Ad

16、versarial 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基尼指数全局最 小 Global minimum全局优化 Global Optimization梯度提升 Gradient boosting梯度下降 Gradient Descent图论 Graph theoryGround-truth 真相 / 真实 Letter HHard margin 硬间隔 Hard voting 硬投票 Harmonic mean

17、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 层次聚类 Hierarchical clustering希尔伯特空间Hilbert space合页损失函数Hinge loss functionHold-out 留出法 Homogeneous 同质 Hybrid computing 混合计算超参数 Hyperparameter 假设 HypothesisHypothesis test 假设验证 Letter I国际机器学习会议ICMLImprov

18、ed iterative scaling/IIS 改进的迭代尺度法 5增量学习 Incremental learning独立同分布 Independent and identically distributed/i.i.d.独立成分分析 Independent Component Analysis/ICA指示函数 Indicator function个体学习器 Individual learnerInduction归纳Inductive bias归纳偏好Inductive learning归纳学习归纳逻辑程序设计 Inductive Logic Programming / ILPInforma

19、tion 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 国际机器学习大会 International Conference for Machine Learning/ICMLIntra-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

20、迭代二分器 Letter KKernel method 核方法 Kernel trick 核技巧 KLDA 核线性判别分析 Kernelized Linear Discriminant Analysis / 倍交叉验证 k K-fold cross validation k 折交叉验证 / 均值聚类 K-Means Clustering K - 近邻算法 K-Nearest Neighbours Algorithm/KNN K 知识库 Knowledge base 知识表征 Knowledge Representation Letter LLabel space标记空间Lagrange dua

21、lity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拉普拉斯修正隐狄利克雷分布Latent Dirichlet Allocation潜在语义分析 Latent semantic analysisLatent variable 隐变量 Lazy learning 懒惰学习 Learner 学习器类比学习 Learning by analogy Learning rate 学习率 Learning Vector Quantization/LVQ 学习向量量化 Least squares re

22、gression tree最小二乘回归树6 . .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 Logisti

23、c 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 MMachine 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

24、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极大似然估计/极大似然法最大间隔 Maximum margin最大带权生成树 Maximum weighted spanning tree最大池化Max-Pooling均方误差 Mean squared errorMeta-learner元学习器 Metric learning度量学习 Micro-P微查准率微查全率Micro

25、-R 最小描述长度 Minimal Description Length/MDL极小极大博弈 Minimax game Misclassification cost 误分类成本 混合专家 Mixture of experts Momentum 动量 道德图/端正图Moral graph7Multi-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 le

26、arning 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 NNaive 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 la

27、nguage 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

28、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 OObjective function 目标函数Oblique decision t

29、ree 斜决策树Occams razor奥卡姆剃刀Odds几率Off-Policy 离策略One shot learning 一次性学习8独依赖估计 / ODE One-Dependent Estimator 在策略 On-PolicyOrdinal 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 Pt 检验 Paired t-test 成对Pairwise成对型Pairwise Markov property

30、成对马尔可夫性Parameter参数参数估计Parameter estimation调参 Parameter tuning解析树Parse tree粒子群优化算法 Particle Swarm Optimization/PSO词性标注 Part-of-speech tagging感知机 Perceptron性能度量 Performance measure即插即用生成网络 Plug and Play Generative NetworkPlurality voting 相对多数投票法 Polarity detection 极性检测 Polynomial kernel function 多项式 核

31、函数池化Pooling正类 Positive class正定矩阵 Positive definite matrix后续检验Post-hoc test后剪枝 Post-pruningpotential 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多释原则验Prior先概率图模型 Probability Graphical Model近端梯度下降 Proximal Gradient Descent/PGDP

32、runing 剪枝 Pseudo-label 伪标记 Letter Q量子化神经网络 Quantized Neural NetworkQuantum computer 量子计算机 Quantum Computing 量子计算 Quasi Newton method 拟牛顿 法9Letter RRadial 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

33、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 Mappi

34、ng 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 SSaddle 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S

35、emi-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 半监督支持向量机情感分析 Sentiment analysis分离超平面 Separating hyperplane函数 Sigmoid function SigmoidSimilarity measure 相似度度量 模拟退火 Simulated annealingSimultaneous localization and mapping 同步定位与地图构建 奇异值分解 Singula

36、r Value Decomposition10松弛变量 Slack variables平滑 Smoothing软间隔 Soft margin软间隔最大化 Soft margin maximizationSoft voting 软投票 Sparse representation 稀疏表征 Sparsity 稀疏性 Specialization 特化Spectral Clustering 谱聚类 语音识别 Speech RecognitionSplitting variable 切分变量 Squashing function 挤压函数-稳定性困境 Stability-plasticity dile

37、mma 可塑性 Statistical learning 统计学习 状态特征函 Status feature function随机梯度下降 Stochastic gradient descent分层采样 Stratified sampling结构风险 Structural risk结构风险最小化 Structural risk minimization/SRM子空间Subspace督学习/ 有导师学习 Supervised learning 监 支持向量展式support vector expansion支持向量机 Support Vector Machine/SVM替代损失Surrogat lossSur