人工智能专业词汇

1、LetterAAccumulatederrorbackpropagation累积误差逆传播ActivationFunction激活函数AdaptiveResonanceTheory/ART自适应谐振理论Addictivemodel加性学习AdversarialNetworks对抗网络AffineLayer仿射层Affinitymatrix亲和矩阵Agent代理/智能体Algorithm算法Alpha-betapruninga-8剪枝Anomalydetection异常检测Approximation近似AreaUnderROCCurveAUCRoc曲线下面积ArtificialGeneralIn

2、telligence/AGI通用人工智能ArtificialIntelligence/AI人工智能Associationanalysis关联分析Attentionmechanism注意力机制Attributeconditionalindependenceassumption属性条件独立性假设Attributespace属性空间Attributevalue属性值Autoencoder自编码器Automaticspeechrecognition自动语音识别Automaticsummarization自动摘要Averagegradient平均梯度Average-Pooling平均池化LetterBB

3、ackpropagationThroughTime通过时间的反向传播Backpropagation/BP反向传播Baselearner基学习器Baselearningalgorithm基学习算法BatchNormalization/BN批量归一化Bayesdecisionrule贝叶斯判定准则BayesModelAveragingBMA贝叶斯模型平均Bayesoptimalclassifier贝叶斯最优分类器Bayesiandecisiontheory贝叶斯决策论Bayesiannetwork贝叶斯网络Between-classscattermatrix类间散度矩阵Bias偏置/偏差Bias-

4、variancedecomposition偏差-方差分解Bias-VarianceDilemma偏差一方差困境Bi-directionalLong-ShortTermMemory/Bi-LSTM双向长短期记忆Binaryclassification二分类Binomialtest二项检验Bi-partition二分法Boltzmannmachine玻尔兹曼机Bootstrapsampling自助采样法可重复采样有放回采样Bootstrapping自助法Break-EventPointBEP平衡点LetterCCalibration校准Cascade-Correlation级联相关Categori

5、calattribute离散属性Class-conditionalprobability类条件概率Classificationandregressiontree/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Clusteranalysis聚类分析Clustering聚类Clusteringensemble聚类集成Co-adapting共适应Codingmatrix编码矩阵COLT国际学习理论会议Committee-basedlearning基于委员会的学习Competitivelearning竞争型学习

6、Componentlearner组件学习器Comprehensibility可解释性ComputationCost计算成本ComputationalLinguistics计算语言学Computervision计算机视觉Conceptdrift概念漂移ConceptLearningSystem/CLS概念学习系统Conditionalentropy条件熵Conditionalmutualinformation条件互信息ConditionalProbabilityTableCPT条件概率表Conditionalrandomfield/CRF条件随机场Conditionalrisk条件风险Confi

7、dence置信度Confusionmatrix混淆矩阵Connectionweight连接权Connectionism连结主义Consistency一致性相合性Contingencytable列联表Continuousattribute连续属性Convergence收敛Conversationalagent会话智能体Convexquadraticprogramming凸二次规划Convexity凸性Convolutionalneuralnetwork/CNN卷积神经网络Co-occurrence同现Correlationcoefficient相关系数Cosinesimilarity余弦相似度C

8、ostcurve成本曲线CostFunction成本函数Costmatrix成本矩阵Cost-sensitive成本敏感Crossentropy交叉熵Crossvalidation交叉验证Crowdsourcing众包Curseofdimensionality维数灾难Cutpoint截断点Cuttingplanealgorithm割平面法LetterDDatamining数据挖掘Dataset数据集DecisionBoundary决策边界Decisionstump决策树桩Decisiontree决策树判定树Deduction演绎深度卷积生成对抗网络DeepBeliefNetwork深度信念网络

9、深度卷积生成对抗网络DeepConvolutionalGenerativeAdversarialNetwork/DCGANDeeplearning深度学习Deepneuralnetwork/DNN深度神经网络DeepQ-Learning深度Q学习DeepQ-Network深度Q网络Densityestimation密度估计Density-basedclustering密度聚类Differentiableneuralcomputer可微分神经计算机Dimensionalityreductionalgorithm降维算法Directededge有向边Disagreementmeasure不合度量D

10、iscriminativemodel判别模型Discriminator判别器Distancemeasure距离度量Distancemetriclearning距离度量学习Distribution分布Divergence散度Diversitymeasure多样性度量差异性度量Domainadaption领域自适应Downsampling下采样D-separation(Directedseparation)有向分离Dualproblem对偶问题Dummynode哑结点DynamicFusion动态融合Dynamicprogramming动态规划LetterEEigenvaluedecomposit

11、ion特征值分解Embedding嵌入Emotionalanalysis情绪分析Empiricalconditionalentropy经验条件熵Empiricalentropy经验熵Empiricalerror经验误差Empiricalrisk经验风险End-to-End端到端Energy-basedmodel基于能量的模型Ensemblelearning集成学习Ensemblepruning集成修剪ErrorCorrectingOutputCodesECOC纠错输出码Errorrate错误率Error-ambiguitydecomposition误差-分歧分解Euclideandistanc

12、e欧氏距离Evolutionarycomputation演化计算Expectation-Maximization期望最大化Expectedloss期望损失ExplodingGradientProblem梯度爆炸问题Exponentiallossfunction指数损失函数ExtremeLearningMachine/ELM超限学习机LetterFFactorization因子分解Falsenegative假负类Falsepositive假正类FalsePositiveRate/FPR假正例率Featureengineering特征工程Featureselection特征选择Featurevec

13、tor特征向量FeaturedLearning特征学习FeedforwardNeuralNetworks/FNN前馈神经网络Fine-tuning微调Flippingoutput翻转法Fluctuation震荡Forwardstagewisealgorithm前向分步算法Frequentist频率主义学派Full-rankmatrix满秩矩阵Functionalneuron功能神经元LetterGGainratio增益率Gametheory博弈论Gaussiankernelfunction高斯核函数GaussianMixtureModel高斯混合模型GeneralProblemSolving通

14、用问题求解Generalization泛化Generalizationerror泛化误差Generalizationerrorbound泛化误差上界GeneralizedLagrangefunction广义拉格朗日函数Generalizedlinearmodel广义线性模型GeneralizedRayleighquotient广义瑞利商GenerativeAdversarialNetworks/GAN生成对抗网络GenerativeModel生成模型Generator生成器GeneticAlgorithm/GA遗传算法Gibbssampling吉布斯采样Giniindex基尼指数Globalm

15、inimum全局最小GlobalOptimization全局优化Gradientboosting梯度提升GradientDescent梯度下降Graphtheory图论Ground-truth真相真实LetterHHardmargin硬间隔Hardvoting硬投票Harmonicmean调和平均Hessematrix海塞矩阵Hiddendynamicmodel隐动态模型Hiddenlayer隐藏层HiddenMarkovModel/HMM隐马尔可夫模型Hierarchicalclustering层次聚类Hilbertspace希尔伯特空间Hingelossfunction合页损失函数Hold

16、-out留出法Homogeneous同质Hybridcomputing混合计算Hyperparameter超参数Hypothesis假设Hypothesistest假设验证LetterIICML国际机器学习会议Improvediterativescaling/IIS改进的迭代尺度法Incrementallearning增量学习Independentandidenticallydistributed/i.i.d.独立同分布IndependentComponentAnalysis/ICA独立成分分析Indicatorfunction指示函数Individuallearner个体学习器Inducti

17、on归纳Inductivebias归纳偏好Inductivelearning归纳学习InductiveLogicProgrammingILP归纳逻辑程序设计Informationentropy信息熵Informationgain信息增益Inputlayer输入层Insensitiveloss不敏感损失Inter-clustersimilarity簇间相似度InternationalConferenceforMachineLearning/ICML国际机器学习大会Intra-clustersimilarity簇内相似度Intrinsicvalue固有值IsometricMapping/Isoma

18、p等度量映射Isotonicregression等分回归IterativeDichotomiser迭代二分器LetterKKernelmethod核方法Kerneltrick核技巧KernelizedLinearDiscriminantAnalysisKLDA核线性判别分析K-foldcrossvalidationk折交叉验证/k倍交叉验证K-MeansClusteringK-均值聚类K-NearestNeighboursAlgorithm/KNNK近邻算法Knowledgebase知识库KnowledgeRepresentation知识表征LetterLLabelspace标记空间Lagra

19、ngeduality拉格朗日对偶性Lagrangemultiplier拉格朗日乘子Laplacesmoothing拉普拉斯平滑Laplaciancorrection拉普拉斯修正LatentDirichletAllocation隐狄利克雷分布Latentsemanticanalysis潜在语义分析Latentvariable隐变量Lazylearning懒惰学习Learner学习器Learningbyanalogy类比学习Learningrate学习率LearningVectorQuantization/LVQ学习向量量化Leastsquaresregressiontree最小二乘回归树Leav

20、e-One-Out/LOO留一法linearchainconditionalrandomfield线性链条件随机场LinearDiscriminantAnalysisLDA线性判别分析Linearmodel线性模型LinearRegression线性回归Linkfunction联系函数LocalMarkovproperty局部马尔可夫性Localminimum局部最小Loglikelihood对数似然Logoddslogit对数几率LogisticRegressionLogistic回归Log-likelihood对数似然Log-linearregression对数线性回归Long-Short

21、TermMemory/LSTM长短期记忆Lossfunction损失函数LetterMMachinetranslation/MT机器翻译Macron-P宏查准率Macron-R宏查全率Majorityvoting绝对多数投票法Manifoldassumption流形假设Manifoldlearning流形学习Margintheory间隔理论Marginaldistribution边际分布Marginalindependence边际独立性Marginalization边际化MarkovChainMonteCarlo/MCMC马尔可夫链蒙特卡罗方法MarkovRandomField马尔可夫随机场M

22、aximalclique最大团MaximumLikelihoodEstimation/MLE极大似然估计极大似然法Maximummargin最大间隔Maximumweightedspanningtree最大带权生成树Max-Pooling最大池化Meansquarederror均方误差Meta-learner元学习器Metriclearning度量学习Micro-P微查准率Micro-R微查全率MinimalDescriptionLength/MDL最小描述长度Minimaxgame极小极大博弈Misclassificationcost误分类成本Mixtureofexperts混合专家Mome

23、ntum动量Moralgraph道德图端正图Multi-classclassification多分类Multi-documentsummarization多文档摘要Multi-layerfeedforwardneuralnetworks多层前馈神经网络MultilayerPerceptron/MLP多层感知器Multimodallearning多模态学习MultipleDimensionalScaling多维缩放Multiplelinearregression多元线性回归Multi-responseLinearRegressionMLR多响应线性回归Mutualinformation互信息Le

24、tterNNaivebayes朴素贝叶斯NaiveBayesClassifier朴素贝叶斯分类器Namedentityrecognition命名实体识别Nashequilibrium纳什均衡Naturallanguagegeneration/NLG自然语言生成Naturallanguageprocessing自然语言处理Negativeclass负类Negativecorrelation负相关法NegativeLogLikelihood负对数似然NeighbourhoodComponentAnalysis/NCA近邻成分分析NeuralMachineTranslation神经机器翻译Neura

25、lTuringMachine神经图灵机Newtonmethod牛顿法NIPS国际神经信息处理系统会议NoFreeLunchTheoremNFL没有免费的午餐定理Noise-contrastiveestimation噪音对比估计Nominalattribute列名属性Non-convexoptimization非凸优化Nonlinearmodel非线性模型Non-metricdistance非度量距离Non-negativematrixfactorization非负矩阵分解Non-ordinalattribute无序属性Non-SaturatingGame非饱和博弈Norm范数Normaliza

26、tion归一化Nuclearnorm核范数Numericalattribute数值属性LetterOObjectivefunction目标函数Obliquedecisiontree斜决策树Occamsrazor奥卡姆剃刀Odds几率Off-Policy离策略Oneshotlearning一次性学习One-DependentEstimatorODE独依赖估计On-Policy在策略Ordinalattribute有序属性Out-of-bagestimate包外估计Outputlayer输出层Outputsmearing输出调制法Overfitting过拟合过配Oversampling过采样Let

27、terPPairedt-test成对t检验Pairwise成对型PairwiseMarkovproperty成对马尔可夫性Parameter参数Parameterestimation参数估计Parametertuning调参Parsetree解析树ParticleSwarmOptimization/PSO粒子群优化算法Part-of-speechtagging词性标注Perceptron感知机Performancemeasure性能度量PlugandPlayGenerativeNetwork即插即用生成网络Pluralityvoting相对多数投票法Polaritydetection极性检测P

28、olynomialkernelfunction多项式核函数Pooling池化Positiveclass正类Positivedefinitematrix正定矩阵Post-hoctest后续检验Post-pruning后剪枝potentialfunction势函数Precision查准率准确率Prepruning预剪枝Principalcomponentanalysis/PCA主成分分析Principleofmultipleexplanations多释原则Prior先验ProbabilityGraphicalModel概率图模型ProximalGradientDescent/PGD近端梯度下降Pr

29、uning剪枝Pseudo-label伪标记LetterQQuantizedNeuralNetwork量子化神经网络Quantumcomputer量子计算机QuantumComputing量子计算QuasiNewtonmethod拟牛顿法LetterRRadialBasisFunctionRBF径向基函数RandomForestAlgorithm随机森林算法Randomwalk随机漫步Recall查全率召回率ReceiverOperatingCharacteristic/ROC受试者工作特征RectifiedLinearUnit/ReLU线性修正单元RecurrentNeuralNetwork

30、循环神经网络Recursiveneuralnetwork递归神经网络Referencemodel参考模型Regression回归Regularization正则化Reinforcementlearning/RL强化学习Representationlearning表征学习Representertheorem表示定理reproducingkernelHilbertspace/RKHS再生核希尔伯特空间Re-sampling重采样法Rescaling再缩放ResidualMapping残差映射ResidualNetwork残差网络RestrictedBoltzmannMachine/RBM受限玻尔兹

31、曼机RestrictedIsometryProperty/RIP限定等距性Re-weighting重赋权法Robustness稳健性/鲁棒性Rootnode根结点RuleEngine规则引擎Rulelearning规则学习LetterSSaddlepoint鞍点Samplespace样本空间Sampling采样Scorefunction评分函数Self-Driving自动驾驶Self-OrganizingMapSOM自组织映射Semi-naiveBayesclassifiers半朴素贝叶斯分类器Semi-SupervisedLearning半监督学习semi-SupervisedSupport

32、VectorMachine半监督支持向量机Sentimentanalysis情感分析Separatinghyperplane分离超平面SigmoidfunctionSigmoid函数Similaritymeasure相似度度量Simulatedannealing模拟退火Simultaneouslocalizationandmapping同步定位与地图构建SingularValueDecomposition奇异值分解Slackvariables松弛变量Smoothing平滑Softmargin软间隔Softmarginmaximization软间隔最大化Softvoting软投票Sparserepresentation稀疏表征Sparsity稀疏性Specialization特化SpectralClustering谱聚类SpeechRecognition语音