人工智能專業(yè)詞匯

1、Letter AAccumulated error backpropagation 累積誤差逆?zhèn)鞑ctivation Function 激活函數(shù)Adaptive Resonance Theory/ART 自適應(yīng)諧振理論Addictive model 加性學(xué)習(xí)Adversarial Networks 對(duì)抗網(wǎng)絡(luò)Affine Layer 仿射層Affinity matrix 親和矩陣Agent代理/智能體Algorithm 算法Alpha-beta pruning a -臼剪枝Anomaly detection 異常檢測(cè)Approximation 近似Area Under ROC Curve /

2、AUC Roc 曲線下面積Artificial General Intelligence/AGI 通用人工智能Artificial Intelligence/AI 人工智能Association analysis 關(guān)聯(lián)分析Attention mechanism 注意力機(jī)制Attribute conditional independence assumption 屬性條件獨(dú)立性假設(shè)Attribute space 屬性空間Attribute value 屬性值A(chǔ)utoencoder自編碼器Automatic speech recognition 自動(dòng)語(yǔ)音識(shí)另0Automatic summariza

3、tion 自動(dòng)摘要Average gradient 平均梯度Average-Pooling 平均池化Letter BBackpropagation Through Time通過(guò)時(shí)間的反向傳播Backpropagation/BP 反向傳播Base learner基學(xué)習(xí)器Base learning algorithm 基學(xué)習(xí)算法Batch Normalization/BN 批量歸一化Bayes decision rule貝葉斯判定準(zhǔn)則Bayes Model Averaging / BMA 貝葉斯模型平均Bayes optimal classifier貝葉斯最優(yōu)分類器Bayesian decisio

4、n theory 貝葉斯決策論Bayesian network貝葉斯網(wǎng)絡(luò)Between-class scatter matrix 類間散度矩陣Bias偏置/偏差Bias-variance decomposition 偏差-方差分舟軍Bias-Variance Dilemma 偏差-方差困境Bi-directional Long-Short Term Memory/Bi-LSTM 雙向長(zhǎng)短期記憶Binary classification 二分類二項(xiàng)檢驗(yàn) Binomial test二分法 Bi-partition玻爾茲曼機(jī) Boltzmann machine自助采樣法/可重復(fù)采樣/有放回采樣Boo

5、tstrap sampling自助法 BootstrappingBEP 平衡點(diǎn) / Break-Event PointLetter CCalibration 校準(zhǔn) Cascade-Correlation 級(jí)聯(lián)相關(guān) Categorical attribute 離散屬性 Class-conditional probability 類條件概率 Classification and regression tree/CART 分類與回歸樹 Classifier 分類器 Class-imbalance 類別不平衡 Closed -form 閉式集群類簇/Cluster聚類分析 Cluster analys

6、is聚類 Clustering聚類集成 Clustering ensemble共適應(yīng) Co-adapting編碼矩陣Coding matrix國(guó)際學(xué)習(xí)理論會(huì)議COLT基于委員會(huì)的學(xué)習(xí)Committee-based learning競(jìng)爭(zhēng)型學(xué)習(xí) Competitive learning件學(xué)習(xí)器 Component learner 組 Comprehensibility 可解釋性 Computation Cost 計(jì)算成本 Computational Linguistics 計(jì)算語(yǔ)言學(xué) Computer vision 計(jì)算機(jī)視覺(jué) Concept drift 概念漂移 Concept Learning

7、 System /CLS 概念學(xué)習(xí)系統(tǒng) 條件熵 Conditional entropy條件互信息 Conditional mutual information條件概率表 / CPT Conditional Probability Table 條件隨機(jī)場(chǎng) Conditional random field/CRFConditional risk 條件風(fēng)險(xiǎn) Confidence 置信度 Confusion matrix 混淆矩陣連接權(quán) Connection weight連結(jié)主義 Connectionism一致性/相合性ConsistencyContingency table 列聯(lián)表 連續(xù)屬性 Con

8、tinuous attributeConvergence 收斂會(huì)話智能體 Conversational agent2Convex quadratic programming 凸二次規(guī)劃Convexity 凸性Convolutional neural network/CNN 卷積神經(jīng)網(wǎng)絡(luò)Co-occurrence 同現(xiàn)Correlation coefficient 相關(guān)系數(shù)Cosine similarity 余弦相似度Cost curve成本曲線Cost Function成本函數(shù)Cost matrix 成本矩陣Cost-sensitive 成本敏感Cross entropy 交叉熵Cross v

9、alidation 交叉驗(yàn)證Crowdsourcing 眾包Curse of dimensionality 維數(shù)災(zāi)難Cut point截?cái)帱c(diǎn)Cutting plane algorithm 割平面法Letter DData mining數(shù)據(jù)挖掘Data set數(shù)據(jù)集Decision Boundary 決策邊界Decision stump 決策樹樁Decision tree決策樹/判定樹Deduction 演繹Deep Belief Network深度信念網(wǎng)絡(luò)Deep Convolutional Generative Adversarial Network/DCGAN 深度卷積生成對(duì)抗網(wǎng)絡(luò)Deep

10、 learning 深度學(xué)習(xí) 深度神經(jīng)網(wǎng)絡(luò) Deep neural network/DNN學(xué)習(xí) Deep Q-Learning 深度 Q網(wǎng)絡(luò)深度 Q Deep Q-Network密度估計(jì) Density estimationDensity-based clustering 密度聚類 Differentiable neural computer 可微分神經(jīng)計(jì)算機(jī) Dimensionality reduction algorithm 降維算法 Directed edge 有向邊 Disagreement measure 不合 度量判別模型 Discriminative model判別器 Discr

11、iminatorDistance measure 距離度量 Distance metric learning 距離度量學(xué)習(xí) Distribution 分布 散度 DivergenceDiversity measure多樣性度量/差異性度量 Domain adaption領(lǐng)域自適應(yīng) Downsampling下采 樣3有向分離)D-separation (Directed separation 對(duì)偶問(wèn)題 Dual problem啞結(jié)點(diǎn)Dummy nodeDynamic Fusion 動(dòng)態(tài)融合 Dynamic programming 動(dòng)態(tài)規(guī)劃 Letter EEigenvalue decomposi

12、tion 特征值分解 Embedding 嵌入 Emotional analysis 情緒分析經(jīng)驗(yàn)條件 熵 Empirical conditional entropyEmpirical entropy 經(jīng)驗(yàn)熵 Empirical error 經(jīng)驗(yàn)誤差 Empirical risk 經(jīng)驗(yàn)風(fēng)險(xiǎn) End-to-End 端到端 基于能量的模型Energy-based model集成學(xué)習(xí) Ensemble learning集成修剪 Ensemble pruning糾錯(cuò)輸出碼 Error Correcting Output Codes / ECOC錯(cuò)誤率Error rate分歧分解誤差-Error-amb

13、iguity decomposition歐氏距離 Euclidean distance演化計(jì)算 Evolutionary computation期望最大化 Expectation-MaximizationExpected loss 期望損失 Exploding Gradient Problem 梯度爆炸問(wèn)題 Exponential loss function 指 數(shù)損失函數(shù) Extreme Learning Machine/ELM 超限學(xué)習(xí)機(jī) Letter FFactorization 因子分解 假負(fù)類 False negative 彳假正類 False positive假正例率 False

14、Positive Rate/FPR特征工程 Feature engineering特征選擇 Feature selectionFeature vector 特征向量 Featured Learning 特征學(xué)習(xí) Feedforward Neural Networks/FNN 前饋 神經(jīng)網(wǎng)絡(luò)Fine-tuning微調(diào)Flipping output翻轉(zhuǎn)法Fluctuation震蕩前向分步算法Forward stagewise algorithmFrequentist頻率主義學(xué)派Full-rank matrix滿秩矩陣Functional neuron功能神經(jīng)元4Letter G益率Gain rat

15、io增Game theory博弈論Gaussian kernel function高斯核函數(shù)高斯混合模型 Gaussian Mixture Model通用問(wèn)題求解 General Problem SolvingGeneralization 泛化 Generalization error 泛化誤差 Generalization error bound 泛化誤差上界Generalized Lagrange function 廣義拉格朗日函數(shù) 廣義線性模型 Generalized linear model廣義瑞利商 Generalized Rayleigh quotientGenerative Ad

16、versarial Networks/GAN 生成對(duì)抗網(wǎng)絡(luò) Generative Model 生成模型 Generator 生 成器Genetic Algorithm/GA遺傳算法Gibbs sampling吉布斯采樣Gini index基尼指數(shù)全局最 小 Global minimum全局優(yōu)化 Global Optimization梯度提升 Gradient boosting梯度下降 Gradient Descent圖論 Graph theoryGround-truth 真相 / 真實(shí) Letter HHard margin 硬間隔 Hard voting 硬投票 Harmonic mean

17、調(diào)和平均 Hesse matrix 海塞矩陣 Hidden dynamic model 隱動(dòng)態(tài)模型 Hidden layer 隱藏層 Hidden Markov Model/HMM 隱馬爾可 夫模型 層次聚類 Hierarchical clustering希爾伯特空間Hilbert space合頁(yè)損失函數(shù)Hinge loss functionHold-out 留出法 Homogeneous 同質(zhì) Hybrid computing 混合計(jì)算超參數(shù) Hyperparameter 假設(shè) HypothesisHypothesis test 假設(shè)驗(yàn)證 Letter I國(guó)際機(jī)器學(xué)習(xí)會(huì)議ICMLImprov

18、ed iterative scaling/IIS 改進(jìn)的迭代尺度法 5增量學(xué)習(xí) Incremental learning獨(dú)立同分布 Independent and identically distributed/i.i.d.獨(dú)立成分分析 Independent Component Analysis/ICA指示函數(shù) Indicator function個(gè)體學(xué)習(xí)器 Individual learnerInduction歸納Inductive bias歸納偏好Inductive learning歸納學(xué)習(xí)歸納邏輯程序設(shè)計(jì) Inductive Logic Programming / ILPInforma

19、tion entropy 信息熵 Information gain 信息增益 Input layer 輸入層 Insensitive loss 不敏 感損失 Inter-cluster similarity 簇間相似度 國(guó)際機(jī)器學(xué)習(xí)大會(huì) International Conference for Machine Learning/ICMLIntra-cluster similarity 簇內(nèi)相似度 Intrinsic value 固有值 Isometric Mapping/Isomap 等度量映 射 Isotonic regression 等分回歸 Iterative Dichotomiser

20、迭代二分器 Letter KKernel method 核方法 Kernel trick 核技巧 KLDA 核線性判別分析 Kernelized Linear Discriminant Analysis / 倍交叉驗(yàn)證 k K-fold cross validation k 折交叉驗(yàn)證 / 均值聚類 K-Means Clustering K - 近鄰算法 K-Nearest Neighbours Algorithm/KNN K 知識(shí)庫(kù) Knowledge base 知識(shí)表征 Knowledge Representation Letter LLabel space標(biāo)記空間Lagrange dua

21、lity拉格朗日對(duì)偶性Lagrange multiplier拉格朗日乘子 Laplace smoothing拉普拉斯平滑Laplacian correction拉普拉斯修正隱狄利克雷分布Latent Dirichlet Allocation潛在語(yǔ)義分析 Latent semantic analysisLatent variable 隱變量 Lazy learning 懶惰學(xué)習(xí) Learner 學(xué)習(xí)器類比學(xué)習(xí) Learning by analogy Learning rate 學(xué)習(xí)率 Learning Vector Quantization/LVQ 學(xué)習(xí)向量量化 Least squares re

22、gression tree最小二乘回歸樹6 . .Leave-One-Out/LOO 留一法linear chain conditional random field 線性鏈條件隨機(jī)場(chǎng)Linear Discriminant Analysis / LDA 線性判別分析Linear model線性模型Linear Regression 線性回歸Link function聯(lián)系函數(shù)Local Markov property局部馬爾可夫性Local minimum局部最小Log likelihood 對(duì)數(shù)似然Log odds / logit 對(duì)數(shù)幾率Logistic Regression Logisti

23、c 回歸Log-likelihood 對(duì)數(shù)似然Log-linear regression 對(duì)數(shù)線性回歸Long-Short Term Memory/LSTM 長(zhǎng)短期記憶 Loss function 損失函數(shù)Letter MMachine translation/MT 機(jī)器翻譯Macron-P宏查準(zhǔn)率Macron-R宏查全率Majority voting絕對(duì)多數(shù)投票法Manifold assumption 流形假設(shè)Manifold learning 流形學(xué)習(xí)Margin theory間隔理論Marginal distribution 邊際分布Marginal independence 邊際獨(dú)立性

24、Marginalization 邊際化Markov Chain Monte Carlo/MCMC馬爾可夫鏈蒙特卡羅方法Markov Random Field馬爾可夫隨機(jī)場(chǎng)Maximal clique 最大團(tuán)Maximum Likelihood Estimation/MLE極大似然估計(jì)/極大似然法最大間隔 Maximum margin最大帶權(quán)生成樹 Maximum weighted spanning tree最大池化Max-Pooling均方誤差 Mean squared errorMeta-learner元學(xué)習(xí)器 Metric learning度量學(xué)習(xí) Micro-P微查準(zhǔn)率微查全率Micro

25、-R 最小描述長(zhǎng)度 Minimal Description Length/MDL極小極大博弈 Minimax game Misclassification cost 誤分類成本 混合專家 Mixture of experts Momentum 動(dòng)量 道德圖/端正圖Moral graph7Multi-class classification 多分類Multi-document summarization 多文檔摘要Multi-layer feedforward neural networks 多層前饋神經(jīng)網(wǎng)絡(luò)Multilayer Perceptron/MLP 多層感知器Multimodal le

26、arning 多模態(tài)學(xué)習(xí)Multiple Dimensional Scaling 多維縮放Multiple linear regression 多元線性回歸Multi-response Linear Regression / MLR 多響應(yīng)線性回歸Mutual information 互信息Letter NNaive bayes樸素貝葉斯Naive Bayes Classifier樸素貝葉斯分類器Named entity recognition 命名實(shí)體識(shí)別Nash equilibrium 納什均衡Natural language generation/NLG 自然語(yǔ)言生成Natural la

27、nguage processing 自然語(yǔ)言處理Negative class 負(fù)類Negative correlation 負(fù)相關(guān)法Negative Log Likelihood 負(fù)對(duì)數(shù)似然Neighbourhood Component Analysis/NCA 近鄰成分分析Neural Machine Translation 神經(jīng)機(jī)器翻譯Neural Turing Machine 神經(jīng)圖靈機(jī)Newton method 牛頓法NIPS國(guó)際神經(jīng)信息處理系統(tǒng)會(huì)議No Free Lunch Theorem / NFL沒(méi)有免費(fèi)的午餐定理Noise-contrastive estimation 噪音對(duì)比

28、估計(jì)Nominal attribute 列名屬性Non-convex optimization 非凸優(yōu)化Nonlinear model非線性模型Non-metric distance 非度量距離Non-negative matrix factorization 非負(fù)矩陣分解Non-ordinal attribute 無(wú)序?qū)傩訬on-Saturating Game 非飽和博弈Norm范數(shù)Normalization 歸一化Nuclear norm 核范數(shù)Numerical attribute 數(shù)值屬性Letter OObjective function 目標(biāo)函數(shù)Oblique decision t

29、ree 斜決策樹Occams razor奧卡姆剃刀Odds幾率Off-Policy 離策略O(shè)ne shot learning 一次性學(xué)習(xí)8獨(dú)依賴估計(jì) / ODE One-Dependent Estimator 在策略 On-PolicyOrdinal attribute 有序?qū)傩?Out-of-bag estimate 包外估計(jì) Output layer 輸出層 Output smearing 輸出調(diào)制法Overfitting過(guò)擬合/過(guò)配Oversampling過(guò)采樣Letter Pt 檢驗(yàn) Paired t-test 成對(duì)Pairwise成對(duì)型Pairwise Markov property

30、成對(duì)馬爾可夫性Parameter參數(shù)參數(shù)估計(jì)Parameter estimation調(diào)參 Parameter tuning解析樹Parse tree粒子群優(yōu)化算法 Particle Swarm Optimization/PSO詞性標(biāo)注 Part-of-speech tagging感知機(jī) Perceptron性能度量 Performance measure即插即用生成網(wǎng)絡(luò) Plug and Play Generative NetworkPlurality voting 相對(duì)多數(shù)投票法 Polarity detection 極性檢測(cè) Polynomial kernel function 多項(xiàng)式 核

31、函數(shù)池化Pooling正類 Positive class正定矩陣 Positive definite matrix后續(xù)檢驗(yàn)Post-hoc test后剪枝 Post-pruningpotential function 勢(shì)函數(shù) Precision 查準(zhǔn)率 / 準(zhǔn)確率 Prepruning 預(yù)剪枝 Principal component analysis/PCA主成分分析Principle of multiple explanations多釋原則驗(yàn)Prior先概率圖模型 Probability Graphical Model近端梯度下降 Proximal Gradient Descent/PGDP

32、runing 剪枝 Pseudo-label 偽標(biāo)記 Letter Q量子化神經(jīng)網(wǎng)絡(luò) Quantized Neural NetworkQuantum computer 量子計(jì)算機(jī) Quantum Computing 量子計(jì)算 Quasi Newton method 擬牛頓 法9Letter RRadial Basis Function / RBF 徑向基函數(shù)Random Forest Algorithm 隨機(jī)森林算法Random walk隨機(jī)漫步Recall查全率/召回率Receiver Operating Characteristic/ROC 受試者工作特征Rectified Linear

33、Unit/ReLU 線性修正單元Recurrent Neural Network 循環(huán)神經(jīng)網(wǎng)絡(luò)Recursive neural network 遞歸神經(jīng)網(wǎng)絡(luò)Reference model 參考模型Regression 回歸Regularization 正則化Reinforcement learning/RL 強(qiáng)化學(xué)習(xí)Representation learning 表征學(xué)習(xí)Representer theorem 表示定理reproducing kernel Hilbert space/RKHS 再生核希爾伯特空間Re-sampling 重采樣法Rescaling再縮放Residual Mappi

34、ng 殘差映射Residual Network 殘差網(wǎng)絡(luò)Restricted Boltzmann Machine/RBM 受限玻爾茲曼機(jī)Restricted Isometry Property/RIP 限定等距性Re-weighting重賦權(quán)法Robustness穩(wěn)健性/魯棒性Root node根結(jié)點(diǎn)Rule Engine規(guī)則引擎Rule learning規(guī)則學(xué)習(xí)Letter SSaddle point 鞍點(diǎn)Sample space樣本空間Sampling 采樣Score function 評(píng)分函數(shù)Self-Driving自動(dòng)駕駛Self-Organizing Map / SOM 自組織映射S

35、emi-naive Bayes classifiers半樸素貝葉斯分類器Semi-Supervised Learning 半監(jiān)督學(xué)習(xí)semi-Supervised Support Vector Machine 半監(jiān)督支持向量機(jī)情感分析 Sentiment analysis分離超平面 Separating hyperplane函數(shù) Sigmoid function SigmoidSimilarity measure 相似度度量 模擬退火 Simulated annealingSimultaneous localization and mapping 同步定位與地圖構(gòu)建 奇異值分解 Singula

36、r Value Decomposition10松弛變量 Slack variables平滑 Smoothing軟間隔 Soft margin軟間隔最大化 Soft margin maximizationSoft voting 軟投票 Sparse representation 稀疏表征 Sparsity 稀疏性 Specialization 特化Spectral Clustering 譜聚類 語(yǔ)音識(shí)別 Speech RecognitionSplitting variable 切分變量 Squashing function 擠壓函數(shù)-穩(wěn)定性困境 Stability-plasticity dile

37、mma 可塑性 Statistical learning 統(tǒng)計(jì)學(xué)習(xí) 狀態(tài)特征函 Status feature function隨機(jī)梯度下降 Stochastic gradient descent分層采樣 Stratified sampling結(jié)構(gòu)風(fēng)險(xiǎn) Structural risk結(jié)構(gòu)風(fēng)險(xiǎn)最小化 Structural risk minimization/SRM子空間Subspace督學(xué)習(xí)/ 有導(dǎo)師學(xué)習(xí) Supervised learning 監(jiān) 支持向量展式support vector expansion支持向量機(jī) Support Vector Machine/SVM替代損失Surrogat lossSur