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-剪枝Anomaly detection異常檢測Approximation近似Area Under ROC CurveAUCRoc 曲線下面積Art

2、ificial 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)語音識別Automatic summarization自動(dòng)摘要Average gradient平

3、均梯度Average-Pooling平均池化Letter BBackpropagation Through Time通過時(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 AveragingBMA貝葉斯模型平均Bayes optimal classifier貝葉斯最優(yōu)分類器Bayesian decision theory貝葉斯決策論Bayesian network貝葉斯網(wǎng)絡(luò)

4、Between-class scatter matrix類間散度矩陣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雙向長短期記憶Binary classification二分類Binomial test二項(xiàng)檢驗(yàn)Bi-partition二分法Boltzmann machine玻爾茲曼機(jī)Bootstrap sampling自助采樣法可重復(fù)采樣有放回采樣Bootstrapping自助法Break-Event Po

5、intBEP平衡點(diǎn)Letter CCalibration校準(zhǔn)Cascade-Correlation級聯(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Cluster簇/類/集群Cluster analysis聚類分析Clustering聚類Clustering ensemble聚類集成Co-adapting共適應(yīng)Coding matrix編

6、碼矩陣COLT國際學(xué)習(xí)理論會(huì)議Committee-based learning基于委員會(huì)的學(xué)習(xí)Competitive learning競爭型學(xué)習(xí)Component learner組件學(xué)習(xí)器Comprehensibility可解釋性Computation Cost計(jì)算成本Computational Linguistics計(jì)算語言學(xué)Computer vision計(jì)算機(jī)視覺Concept drift概念漂移Concept Learning System /CLS概念學(xué)習(xí)系統(tǒng)Conditional entropy條件熵Conditional mutual information條件互信息Conditi

7、onal Probability TableCPT條件概率表Conditional random field/CRF條件隨機(jī)場Conditional risk條件風(fēng)險(xiǎn)Confidence置信度Confusion matrix混淆矩陣Connection weight連接權(quán)Connectionism連結(jié)主義Consistency一致性相合性Contingency table列聯(lián)表Continuous attribute連續(xù)屬性Convergence收斂Conversational agent會(huì)話智能體Convex quadratic programming凸二次規(guī)劃Convexity凸性Conv

8、olutional 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 validation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)

9、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深度卷積生成對抗網(wǎng)絡(luò)Deep learning深度學(xué)習(xí)Deep neural network/DNN深度神經(jīng)網(wǎng)絡(luò)Deep Q-Learning深度 Q 學(xué)習(xí)Deep Q-Network深度 Q 網(wǎng)絡(luò)Density estimation密度估計(jì)Density-based clu

10、stering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Discriminative model判別模型Discriminator判別器Distance measure距離度量Distance metric learning距離度量學(xué)習(xí)Distribution分布Divergence散度Diversity measure多樣性度量差異性度量Domain adaption領(lǐng)域自適應(yīng)Downsampli

11、ng下采樣D-separation （Directed separation）有向分離Dual problem對偶問題Dummy node啞結(jié)點(diǎn)Dynamic Fusion動(dòng)態(tài)融合Dynamic programming動(dòng)態(tài)規(guī)劃Letter EEigenvalue decomposition特征值分解Embedding嵌入Emotional analysis情緒分析Empirical conditional entropy經(jīng)驗(yàn)條件熵Empirical 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Energy-based

12、model基于能量的模型Ensemble learning集成學(xué)習(xí)Ensemble pruning集成修剪Error Correcting Output CodesECOC糾錯(cuò)輸出碼Error rate錯(cuò)誤率Error-ambiguity decomposition誤差-分歧分解Euclidean distance歐氏距離Evolutionary computation演化計(jì)算Expectation-Maximization期望最大化Expected loss期望損失Exploding Gradient Problem梯度爆炸問題Exponential loss function指數(shù)損失函數(shù)E

13、xtreme Learning Machine/ELM超限學(xué)習(xí)機(jī)Letter FFactorization因子分解False negative假負(fù)類False positive假正類False Positive Rate/FPR假正例率Feature engineering特征工程Feature selection特征選擇Feature 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Forward stagewise

14、algorithm前向分步算法Frequentist頻率主義學(xué)派Full-rank matrix滿秩矩陣Functional neuron功能神經(jīng)元Letter GGain ratio增益率Game theory博弈論Gaussian kernel function高斯核函數(shù)Gaussian Mixture Model高斯混合模型General Problem Solving通用問題求解Generalization泛化Generalization error泛化誤差Generalization error bound泛化誤差上界Generalized Lagrange function廣義拉格

15、朗日函數(shù)Generalized linear model廣義線性模型Generalized Rayleigh quotient廣義瑞利商Generative Adversarial Networks/GAN生成對抗網(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)Global minimum全局最小Global Optimization全局優(yōu)化Gradient boosting梯度提升Gradient Descent梯度下降Graph theory圖論Ground

16、-truth真相真實(shí)Letter HHard margin硬間隔Hard voting硬投票Harmonic mean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Hierarchical clustering層次聚類Hilbert space希爾伯特空間Hinge loss function合頁損失函數(shù)Hold-out留出法Homogeneous同質(zhì)Hybrid computing混合計(jì)算Hyperparameter超參數(shù)Hypothesis假設(shè)Hypothe

17、sis test假設(shè)驗(yàn)證Letter IICML國際機(jī)器學(xué)習(xí)會(huì)議Improved iterative scaling/IIS改進(jìn)的迭代尺度法Incremental learning增量學(xué)習(xí)Independent and identically distributed/i.i.d.獨(dú)立同分布Independent Component Analysis/ICA獨(dú)立成分分析Indicator function指示函數(shù)Individual learner個(gè)體學(xué)習(xí)器Induction歸納Inductive bias歸納偏好Inductive learning歸納學(xué)習(xí)Inductive Logic Pro

18、grammingILP歸納邏輯程序設(shè)計(jì)Information 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International Conference for Machine Learning/ICML國際機(jī)器學(xué)習(xí)大會(huì)Intra-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 Dichotom

19、iser迭代二分器Letter KKernel method核方法Kernel trick核技巧Kernelized Linear Discriminant AnalysisKLDA核線性判別分析K-fold cross validationk 折交叉驗(yàn)證k 倍交叉驗(yàn)證K-Means ClusteringK 均值聚類K-Nearest Neighbours Algorithm/KNNK近鄰算法Knowledge base知識庫Knowledge Representation知識表征Letter LLabel space標(biāo)記空間Lagrange duality拉格朗日對偶性Lagrange mu

20、ltiplier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隱狄利克雷分布Latent semantic analysis潛在語義分析Latent variable隱變量Lazy learning懶惰學(xué)習(xí)Learner學(xué)習(xí)器Learning by analogy類比學(xué)習(xí)Learning rate學(xué)習(xí)率Learning Vector Quantization/LVQ學(xué)習(xí)向量量化Least squares regression tree最小二乘回歸樹Leave-One-Out/L

21、OO留一法linear chain conditional random field線性鏈條件隨機(jī)場Linear Discriminant AnalysisLDA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對數(shù)似然Log oddslogit對數(shù)幾率Logistic RegressionLogistic 回歸Log-likelihood對數(shù)似然Log-linear regression對數(shù)線性回歸Long

22、-Short Term Memory/LSTM長短期記憶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Marginalization邊際化Markov Chain Monte Carlo/MCMC馬爾可夫鏈蒙特卡羅方法Marko

23、v Random Field馬爾可夫隨機(jī)場Maximal clique最大團(tuán)Maximum Likelihood Estimation/MLE極大似然估計(jì)極大似然法Maximum margin最大間隔Maximum weighted spanning tree最大帶權(quán)生成樹Max-Pooling最大池化Mean squared error均方誤差Meta-learner元學(xué)習(xí)器Metric learning度量學(xué)習(xí)Micro-P微查準(zhǔn)率Micro-R微查全率Minimal Description Length/MDL最小描述長度Minimax game極小極大博弈Misclassificati

24、on cost誤分類成本Mixture of experts混合專家Momentum動(dòng)量Moral graph道德圖端正圖Multi-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 learning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-respon

25、se 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)體識別Nash equilibrium納什均衡Natural language generation/NLG自然語言生成Natural language processing自然語言處理Negative class負(fù)類Negative correlation負(fù)相關(guān)法Negative Log Likelihood負(fù)對數(shù)似然Neighb

26、ourhood 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國際神經(jīng)信息處理系統(tǒng)會(huì)議No Free Lunch TheoremNFL沒有免費(fèi)的午餐定理Noise-contrastive estimation噪音對比估計(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 ma

27、trix factorization非負(fù)矩陣分解Non-ordinal attribute無序?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 tree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)One-Dependent EstimatorODE獨(dú)依賴估計(jì)On-Policy在策略O(shè)rdinal att

28、ribute有序?qū)傩設(shè)ut-of-bag estimate包外估計(jì)Output layer輸出層Output smearing輸出調(diào)制法Overfitting過擬合過配Oversampling過采樣Letter PPaired t-test成對 t 檢驗(yàn)Pairwise成對型Pairwise Markov property成對馬爾可夫性Parameter參數(shù)Parameter estimation參數(shù)估計(jì)Parameter tuning調(diào)參Parse tree解析樹Particle Swarm Optimization/PSO粒子群優(yōu)化算法Part-of-speech tagging詞性標(biāo)注P

29、erceptron感知機(jī)Performance measure性能度量Plug and Play Generative Network即插即用生成網(wǎng)絡(luò)Plurality voting相對多數(shù)投票法Polarity detection極性檢測Polynomial kernel function多項(xiàng)式核函數(shù)Pooling池化Positive class正類Positive definite matrix正定矩陣Post-hoc test后續(xù)檢驗(yàn)Post-pruning后剪枝potential function勢函數(shù)Precision查準(zhǔn)率準(zhǔn)確率Prepruning預(yù)剪枝Principal comp

30、onent analysis/PCA主成分分析Principle of multiple explanations多釋原則Prior先驗(yàn)Probability Graphical Model概率圖模型Proximal Gradient Descent/PGD近端梯度下降Pruning剪枝Pseudo-label偽標(biāo)記Letter QQuantized Neural Network量子化神經(jīng)網(wǎng)絡(luò)Quantum computer量子計(jì)算機(jī)Quantum Computing量子計(jì)算Quasi Newton method擬牛頓法Letter RRadial Basis FunctionRBF徑向基函數(shù)

31、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 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)Repr

32、esenter 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 Mapping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

33、point鞍點(diǎn)Sample space樣本空間Sampling采樣Score function評分函數(shù)Self-Driving自動(dòng)駕駛Self-Organizing MapSOM自組織映射Semi-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)Sentiment analysis情感分析Separating hyperplane分離超平面Sigmoid functionSigmoid 函數(shù)Similarity measure相似

34、度度量Simulated annealing模擬退火Simultaneous localization and mapping同步定位與地圖構(gòu)建Singular Value Decomposition奇異值分解Slack variables松弛變量Smoothing平滑Soft margin軟間隔Soft margin maximization軟間隔最大化Soft voting軟投票Sparse representation稀疏表征Sparsity稀疏性Specialization特化Spectral Clustering譜聚類Speech Recognition語音識別Splitting v

35、ariable切分變量Squashing function擠壓函數(shù)Stability-plasticity dilemma可塑性-穩(wěn)定性困境Statistical learning統(tǒng)計(jì)學(xué)習(xí)Status feature function狀態(tài)特征函Stochastic gradient descent隨機(jī)梯度下降Stratified sampling分層采樣Structural risk結(jié)構(gòu)風(fēng)險(xiǎn)Structural risk minimization/SRM結(jié)構(gòu)風(fēng)險(xiǎn)最小化Subspace子空間Supervised learning監(jiān)督學(xué)習(xí)有導(dǎo)師學(xué)習(xí)support vector expansion支持向量展式Support Vector Machine/S