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 - B 剪枝Anomaly detection 异常检测Approximation 近似Area Under ROC Cu

2、rve 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 summari

3、zation 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 AveragingBMA贝叶斯模型平均Bayes optimal classifier 贝叶斯最优分类器Bayesian deci

4、sion 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-Varianee Dilemma 偏差-方差困境Bi-directional Long-Short Term Memory/Bi-LSTM 双向长短期记忆 Binary elassifieation 二分类Binomial test 二项检验Bi-partition 二分法Boltzmann machine 玻尔兹曼机Bootstrap sa

5、mpling 自助采样法可重复采样有放回采样Bootstrapping 自助法Break-Eve nt Poi nt/ BEP 平衡点Letter 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Cluster 簇/类 /集群Cluster analysis

6、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 S

7、ystem /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条件随机场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 attrib

8、ute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

9、 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 演绎深度卷积生成对抗网络Deep Belief Network深度信念网络Deep Convolutional Generative Adversarial Network/DCGANDeep learni

10、ng 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 D

11、istance 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 EEigenvalue decomposition 特征值分解

12、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

13、-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 FFactorization 因子分解False negative 假负类False positive 假正类False Positive Rate/FPR 假正例率Featur

14、e 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 GGain ratio 增益率Game theory 博弈论Ga

15、ussian 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

16、/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 HHard margin 硬间隔Hard voting 硬投票Harmonic mean 调和平均Hesse matrix 海塞矩阵Hidde

17、n 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 IICML 国际机器学习会议Improved iterative scaling/IIS 改进的迭代尺度

18、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

19、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 KKernel method 核方法Kernel trick 核技巧K

20、ernelized 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 LLabel 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

21、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 con

22、ditional random field 线性链条件随机场Linear Discrimi nant An alysis / 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-Shor

23、t 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Marginalization 边际化Markov Chain Monte Carlo/MCMC 马尔可夫链蒙特卡

24、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

25、 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 li

26、near 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 language processing 自然语言处理Negative class 负类Negative correl

27、ation 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Nonlin

28、ear 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 数Normalization 归一化Nuclear norm 核数Numerical attribute 数值属性Letter OObjective 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

29、 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 PPaired 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 tuni

30、ng 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

31、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 QQuantized Neur

32、al 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 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 Unit/ReLU 线性修正单元 Recurrent Neural Network 循环神经网络

33、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

34、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 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 classifier

35、s 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 奇异值

36、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Suppor