人工智能专业词汇

累积误差逆传播自适应谐振理论累积误差逆传播自适应谐振理论AccumulatederrorbackpropagationActivationFunction激活函数AdaptiveResonanceTheory/ARTAddictivemodel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-B剪枝Anomalydetection异常检测Approximation近似AreaUnderROCCurve／AUCRoc曲线下面积ArtificialGeneralIntelligence/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AttributespaeeAttributevalue属性空间属性值Autoencoder自编码器Automaticspeechrecognition 自动语音识别Automaticsummarization自动摘要Averagegradient 平均梯度Average-Pooling平均池化通过时间的反向传播LetterB通过时间的反向传播BackpropagationThroughTimeBackpropagation/BP反向传播Baselearner基学习器BaselearningalgorithmBatchNormalization/BNBayesdecisionruleBayesModelAveragingBayesoptimalclassifierBayesiandecisiontheory基学习算法BaselearningalgorithmBatchNormalization/BNBayesdecisionruleBayesModelAveragingBayesoptimalclassifierBayesiandecisiontheory基学习算法批量归一化贝叶斯判定准则／BMA贝叶斯模型平均贝叶斯最优分类器贝叶斯决策论Bayesiannetwork贝叶斯网络Between-classscattermatrix 类间散度矩阵Bias偏置/偏差Bias-variancedecomposition偏差-方差分解双向长短期记忆Bias-VarianeeDilemma 偏差-方差困境双向长短期记忆Bi-directionalLong-ShortTermMemory/Bi-LSTMBinaryelassifieation 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-EventPoint／BEP平衡点LetterCCalibration校准Cascade-Correlation级联相关Categoricalattribute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基于委员会的学习计算语言学概念学习系统计算语言学概念学习系统条件互信息／CPT条件概率表

条件随机场Competitivelearning竞争型学习Componentlearner组件学习器Comprehensibility 可解释性ComputationCost 计算成本ComputationalLinguisticsComputervision计算机视觉Conceptdrift概念漂移ConceptLearningSystem/CLSConditionalentropy条件熵ConditionalmutualinformationConditionalProbabilityTableConditionalrandomfield/CRFConditionalrisk 条件风险Confidence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Costcurve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Discriminativemodel 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

有向分离D-separation(Directedseparation)Dualproblem对偶问题有向分离Dummynode哑结点DynamicFusion动态融合Dynamicprogramming动态规划LetterEEigenvaluedecomposition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 经验风险基于能量的模型集成学习集成修剪基于能量的模型集成学习集成修剪Energy-basedmodelEnsemblelearning/ECOC/ECOC纠错输出码ErrorCorrectingOutputCodesErrorrate错误率Error-ambiguitydecomposition 误差-分歧分解演化计算期望最大化梯度爆炸问题指数损失函数超限学习机演化计算期望最大化梯度爆炸问题指数损失函数超限学习机EvolutionarycomputationExpectation-MaximizationExpectedloss期望损失ExplodingGradientProblemExponentiallossfunctionExtremeLearningMachine/ELMLetterFFactorization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Featurevector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LetterGGainratio增益率Gametheory博弈论GaussiankernelfunctionGaussianMixtureModelGeneralProblemSolvingGeneralization泛化GeneralizationerrorGeneralizationerrorbound高斯核函数高斯混合模型通用问题求解泛化误差泛化误差上界广义拉格朗日函数广义线性模型广义瑞利商广义拉格朗日函数广义线性模型广义瑞利商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Globalminimum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-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

独立同分布独立成分分析Incrementallearning独立同分布独立成分分析Individuallearner 个体学习器Induction归纳Inductivebias归纳偏好Inductivelearning归纳学习InductiveLogicProgramming ／ILP 归纳逻辑程序设计Informationentropy 信息熵Informationgain 信息增益Inputlayer输入层Insensitiveloss 不敏感损失国际机器学习大会Inter-clustersimilarity 簇间相似度国际机器学习大会InternationalConferenceforMachineLearning/ICMLIntra-clustersimilarity 簇内相似度Intrinsicvalue固有值IsometricMapping/Isomap等度量映射Isotonicregression等分回归IterativeDichotomiser迭代二分器LetterKKernelmethod核方法Kerneltrick核技巧KernelizedLinearDiscriminantAnalysis ／KLDA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/KNN K近邻算法Knowledgebase知识库KnowledgeRepresentation 知识表征LetterLLabelspace标记空间LagrangedualityLagrangemultiplierLaplacesmoothingLaplaciancorrection拉格朗日对偶性拉格朗日乘子拉普拉斯平滑拉普拉斯修正隐狄利克雷分布隐狄利克雷分布LatentDirichletAllocationLatentsemanticanalysis潜在语义分析Latentvariable 隐变量Lazylearning 懒惰学习Learner学习器学习向量量化最小二乘回归树Learningbyanalogy类比学习Learningrate学习率LearningVectorQuantization/LVQLeastsquaresregressiontree学习向量量化最小二乘回归树Leave-One-Out/LOO留一法linearchainconditionalrandomfield 线性链条件随机场LinearDiscriminantAnalysis ／LDA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Logodds／logit对数几率LogisticRegressionLogistic回归Log-likelihood对数似然Log-linearregression对数线性回归Long-ShortTermMemory/LSTM长短期记忆Lossfunction 损失函数LetterMMachinetranslation/MTMacron-P宏查准率Macron-R宏查全率MajorityvotingManifoldassumptionManifoldlearning机器翻译Machinetranslation/MTMacron-P宏查准率Macron-R宏查全率MajorityvotingManifoldassumptionManifoldlearning机器翻译Margintheory间隔理论MarginaldistributionMarginalindependenceMarginalization边际化MarkovChainMonteCarlo/MCMCMarkovRandomFieldMaximalclique最大团MaximumLikelihoodEstimation/MLEMaximummargin最大间隔MaximumweightedspanningtreeMax-Pooling最大池化Meansquarederror 均方误差Meta-learner元学习器绝对多数投票法流形假设流形学习边际分布边际独立性马尔可夫链蒙特卡罗方法马尔可夫随机场极大似然估计／极大似然法最大带权生成树Metriclearning度量学习Micro-P微查准率Micro-R微查全率最小描述长度MinimalDescriptionLength/MDLMinimaxgame极小极大博弈最小描述长度Misclassificationcost 误分类成本Mixtureofexperts混合专家Momentum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-responseLinearRegression ／MLR多响应线性回归Mutualinformation互信息LetterNNaivebayes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NeuralTuringMachine神经图灵机Newtonmethod牛顿法NIPS国际神经信息处理系统会议NoFreeLunchTheorem／NFL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Normalization归一化Nuclearnorm核范数Numericalattribute数值属性LetterOObjectivefunction目标函数Obliquedecisiontree 斜决策树Occam'srazor奥卡姆剃刀Odds几率Off-Policy离策略Oneshotlearning一次性学习

One-DependentEstimator／ODE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LetterPPairedt-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感知机即插即用生成网络Performancemeasure性能度量即插即用生成网络PlugandPlayGenerativeNetworkPluralityvoting相对多数投票法Polaritydetection极性检测Polynomialkernelfunction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 后剪枝主成分分析potentialfunction势函数Precision查准率／准确率Prepruning预剪枝主成分分析Principalcomponentanalysis/PCAPrincipleofmultipleexplanations 多释原则Prior先验ProbabilityGraphicalModel概率图模型ProximalGradientDescent/PGD 近端梯度下降Pruning剪枝Pseudo-label伪标记LetterQ量子化神经网络QuantizedNeuralNetwork量子化神经网络Quantumcomputer量子计算机QuantumComputing量子计算QuasiNewtonmethod拟牛顿法LetterRRadialBasisFunction ／RBF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/ReLURecurrentNeuralNetworkRecursiveneuralnetworkReferencemodel参考模型Regression回归Regularization正则化Reinforcementlearning/RL线性修正单元循环神经网络递归神经网络强化学习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受限玻尔兹曼机RestrictedIsometryProperty/RIPRe-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 自动驾驶限定等距性Self-OrganizingMap／SOMSemi-naiveBayesclassifiersSemi-SupervisedLearning自组织映射半朴素贝叶斯分类器半监督学习semi-SupervisedSupportVectorMachine半监督支持向量机SentimentanalysisSeparatinghyperplaneSigmoidfunctionSimilaritymeasureSimulatedannealing情感分析分离超平面Sigmoid函数相似度度量模拟退火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 语音识别Splittingvariable 切分变量Squashingfunction 挤压函数Stability-plasticitydilemmaStatisticallearningStatusfeaturefunctionStochasticgradientdescent可塑性Stability-plasticitydilemmaStatisticallearningStatusfeaturefunctionStochasticgradientdescent可塑性-稳定性困境统计学习状态特征函随机梯度下降Stratifiedsampling分层采样结构风险最小化Structuralrisk结构风险结构风险最小化Structuralriskminimization/SRMSubspace子空间Supervisedlearning监督学习／有导师学习supportvectorexpansion 支持向量展式SupportVectorMachine/SVM 支持向量机Surrogatloss