权威机器学习术语中英对照词表一份！

视觉/图像重磅干货，第一时间送达

新机器视觉 最前沿的机器视觉与计算机视觉技术206篇原创内容公众号来源：算法进阶本术语库目前拥有专业术语约 2094 个、专项领域篇 1 篇，主要为人工智能领域基础概念和术语（周志华、李航、邱锡鹏、李沐、Aston Zhang 5位专家指导。）原文GitHub地址：https://github.com/jiqizhixin/Artificial-Intelligence-Terminology-DatabaseSection Machine Learning索引编号英文术语中文翻译常用缩写来源&扩展备注AITD-000000-1 Loss Function0-1损失函数[1]AITD-00003Accept-Reject Sampling Method接受-拒绝抽样法/接受-拒绝采样法[1]AITD-00006Accumulated Error Backpropagation累积误差反向传播[1]AITD-00007Accuracy精度[1]AITD-00010Acquisition Function采集函数[1]AITD-00011Action动作[1]AITD-00015Activation Function激活函数[1][2]AITD-00016Active Learning主动学习[1]AITD-00020Adaptive Bitrate Algorithm自适应比特率算法ABR[1]AITD-00021Adaptive BoostingAdaBoost[1]AITD-00022Adaptive Gradient AlgorithmAdaGrad[1]AITD-00023Adaptive Moment Estimation AlgorithmAdam算法Adam[1]AITD-00024Adaptive Resonance Theory自适应谐振理论ART[1]AITD-00025Additive Model加性模型[1]AITD-00032Affinity Matrix亲和矩阵[1]AITD-00033Agent智能体[1][2][3][4]AITD-00036Algorithm算法[1][2][3]AITD-00040Alpha-Beta Pruningα-β修剪法[1]AITD-00046Anomaly Detection异常检测[1]AITD-00052Approximate Inference近似推断[1]AITD-00056Area Under ROC CurveAUCAUC[1]AITD-00059Artificial Intelligence人工智能AI[1][2][3]AITD-00060Artificial Neural Network人工神经网络ANN[1]AITD-00061Artificial Neuron人工神经元[1]AITD-00069Attention注意力[1]AITD-00072Attention Mechanism注意力机制[1][2][3]AITD-00075Attribute属性[1]AITD-00077Attribute Space属性空间[1]AITD-00081Autoencoder自编码器AE[1]AITD-00082Automatic Differentiation自动微分AD[1]AITD-00086Autoregressive Model自回归模型AR[1]AITD-00092Back Propagation反向传播BP[1]AITD-00093Back Propagation Algorithm反向传播算法[1]AITD-00094Back Propagation Through Time随时间反向传播BPTT[1]AITD-00097Backward Induction反向归纳[1]AITD-00098Backward Search反向搜索[1]AITD-00099Bag of Words词袋BOW[1]AITD-00101Bandit赌博机/老虎机[1]AITD-00105Base Learner基学习器[1]AITD-00106Base Learning Algorithm基学习算法[1]AITD-00108Baseline基准[1]AITD-00110Batch批量[1]AITD-00113Batch Normalization批量规范化BN[1]AITD-00117Bayes Decision Rule贝叶斯决策准则[1]AITD-00119Bayes Model Averaging贝叶斯模型平均BMA[1]AITD-00120Bayes Optimal Classifier贝叶斯最优分类器[1]AITD-00123Bayes' Theorem贝叶斯定理[1]AITD-00124Bayesian Decision Theory贝叶斯决策理论[1]AITD-00126Bayesian Inference贝叶斯推断[1]AITD-00127Bayesian Learning贝叶斯学习[1]AITD-00129Bayesian Network贝叶斯网/贝叶斯网络[1]Network翻译为网或网络皆可，只要统一翻译成网或者统一翻译成网络即可AITD-00130Bayesian Optimization贝叶斯优化[1]AITD-00133Beam Search束搜索[1]AITD-00134Benchmark基准[1]AITD-00135Belief Network信念网/信念网络BN[1]Network翻译为网或网络皆可，只要统一翻译成网或者统一翻译成网络即可AITD-00136Belief Propagation信念传播BP[1]AITD-00137Bellman Equation贝尔曼方程[1]AITD-00139Bernoulli Distribution伯努利分布[1]AITD-00142Beta Distribution贝塔分布[1]AITD-00143Between-Class Scatter Matrix类间散度矩阵[1]AITD-00144BFGSBFGS[1]AITD-00147Bias偏差/偏置[1]看上下语境AITD-00148Bias In Affine Function偏置[1]看上下语境AITD-00149Bias In Statistics偏差[1]看上下语境AITD-00150Bias Shift偏置偏移[1]AITD-00151Bias-Variance Decomposition偏差 - 方差分解[1]AITD-00152Bias-Variance Dilemma偏差 - 方差困境[1]AITD-00156Bidirectional Recurrent Neural Network双向循环神经网络Bi-RNN[1]AITD-00157Bigram二元语法[1]AITD-00158Bilingual Evaluation UnderstudyBLEU[1]AITD-00159Binary Classification二分类[1]AITD-00162Binomial Distribution二项分布[1]AITD-00164Binomial Test二项检验[1]AITD-00172Boltzmann Distribution玻尔兹曼分布[1]AITD-00174Boltzmann Machine玻尔兹曼机[1]AITD-00175BoostingBoosting[1]AITD-00177Bootstrap AggregatingBagging[1]AITD-00178Bootstrap Sampling自助采样法[1]AITD-00179Bootstrapping自助法/自举法[1]AITD-00183Break-Event Point平衡点BEP[1]AITD-00187Bucketing分桶[1]AITD-00191Calculus of Variations变分法[1]AITD-00198Cascade-Correlation级联相关[1]AITD-00199Catastrophic Forgetting灾难性遗忘[1]AITD-00201Categorical Distribution类别分布[1]AITD-00204Cell单元[1]AITD-00207Chain Rule链式法则[1]AITD-00210Chebyshev Distance切比雪夫距离[1]AITD-00214Class类别[1]AITD-00217Class-Imbalance类别不平衡[1]AITD-00218Classification分类[1]AITD-00219Classification And Regression Tree分类与回归树CART[1]AITD-00220Classifier分类器[1]AITD-00223Clique团[1]AITD-00228Cluster簇[1]AITD-00230Cluster Assumption聚类假设[1]AITD-00231Clustering聚类[1]AITD-00232Clustering Ensemble聚类集成[1]AITD-00236Co-Training协同训练[1]AITD-00239Coding Matrix编码矩阵[1]AITD-00240Collaborative Filtering协同过滤[1]AITD-00251Competitive Learning竞争型学习[1]AITD-00259Comprehensibility可解释性[1]AITD-00261Computation Graph计算图[1]AITD-00262Computational Learning Theory计算学习理论[1]AITD-00271Conditional Entropy条件熵[1]AITD-00275Conditional Probability条件概率[1]AITD-00277Conditional Probability Distribution条件概率分布[1]AITD-00279Conditional Random Field条件随机场CRF[1]AITD-00280Conditional Risk条件风险[1]AITD-00283Confidence置信度[1]AITD-00285Confusion Matrix混淆矩阵[1]AITD-00288Conjugate Distribution共轭分布[1]AITD-00291Connection Weight连接权[1]AITD-00292Connectionism连接主义[1]AITD-00293Consistency一致性[1]AITD-00295Constrained Optimization约束优化[1]AITD-00297Context Variable上下文变量[1]AITD-00298Context Vector上下文向量[1]AITD-00299Context Window上下文窗口[1]AITD-00300Context Word上下文词[1]AITD-00302Contextual Bandit上下文赌博机/上下文老虎机[1]AITD-00304Contingency Table列联表[1]AITD-00308Continuous Attribute连续属性[1]AITD-00314Contrastive Divergence对比散度[1]AITD-00316Convergence收敛[1]AITD-00318Convex Optimization凸优化[1]AITD-00319Convex Quadratic Programming凸二次规划[1]AITD-00322Convolution卷积[1]AITD-00325Convolutional Kernel卷积核[1]AITD-00327Convolutional Neural Network卷积神经网络CNN[1][2][3]AITD-00330Coordinate Descent坐标下降[1]AITD-00332Corpus语料库[1]AITD-00334Correlation Coefficient相关系数[1]AITD-00337Cosine Similarity余弦相似度[1]AITD-00338Cost代价[1]AITD-00339Cost Curve代价曲线[1]AITD-00340Cost Function代价函数[1]AITD-00341Cost Matrix代价矩阵[1]AITD-00342Cost-Sensitive代价敏感[1]AITD-00343Covariance协方差[1]AITD-00344Covariance Matrix协方差矩阵[1]AITD-00352Critical Point临界点[1]AITD-00355Cross Entropy交叉熵[1]AITD-00356Cross Validation交叉验证[1]AITD-00362Curse of Dimensionality维数灾难[1]AITD-00366Cutting Plane Algorithm割平面法[1]AITD-00376Data Mining数据挖掘[1]AITD-00380Data Set数据集[1]AITD-00383Davidon-Fletcher-PowellDFP[1]AITD-00385Decision Boundary决策边界[1]AITD-00386Decision Function决策函数[1]AITD-00387Decision Stump决策树桩[1]AITD-00389Decision Tree决策树[1][2]AITD-00390Decoder解码器[1]AITD-00391Decoding解码[1]AITD-00393Deconvolution反卷积[1]AITD-00394Deconvolutional Network反卷积网络[1]AITD-00395Deduction演绎[1]AITD-00396Deep Belief Network深度信念网络DBN[1]AITD-00397Deep Boltzmann Machine深度玻尔兹曼机DBM[1]AITD-00399Deep Convolutional Generative Adversarial Network深度卷积生成对抗网络DCGAN[1]AITD-00402Deep Learning深度学习DL[1][2][3]AITD-00405Deep Neural Network深度神经网络DNN[1][2][3]AITD-00407Deep Q-Network深度Q网络DQN[1]AITD-00413Delta-Bar-DeltaDelta-Bar-Delta[1]AITD-00414Denoising去噪[1]AITD-00415Denoising Autoencoder去噪自编码器[1]AITD-00416Denoising Score Matching去躁分数匹配[1]AITD-00419Density Estimation密度估计[1]AITD-00420Density-Based Clustering密度聚类[1]AITD-00423Derivative导数[1]AITD-00429Determinant行列式[1]AITD-00434Diagonal Matrix对角矩阵[1]AITD-00437Dictionary Learning字典学习[1]AITD-00445Dimension Reduction降维[1]AITD-00451Directed Edge有向边[1]AITD-00453Directed Graphical Model有向图模型[1]AITD-00455Directed Separation有向分离[1]AITD-00457Dirichlet Distribution狄利克雷分布[1]AITD-00465Discriminative Model判别式模型[1]AITD-00467Discriminator判别器[1]AITD-00468Discriminator Network判别网络[1]AITD-00470Distance Measure距离度量[1]AITD-00471Distance Metric Learning距离度量学习[1]AITD-00472Distributed Representation分布式表示[1]AITD-00474Diverge发散[1]AITD-00475Divergence散度[1]AITD-00476Diversity多样性[1]AITD-00477Diversity Measure多样性度量/差异性度量[1]AITD-00481Domain Adaptation领域自适应[1]AITD-00484Dominant Strategy主特征值[1]AITD-00485Dominant Strategy占优策略[1]AITD-00489Down Sampling下采样[1]AITD-00491Dropout暂退法[1]AITD-00492Dropout Boosting暂退Boosting[1]AITD-00494Dropout Method暂退法[1]AITD-00496Dual Problem对偶问题[1]AITD-00497Dummy Node哑结点[1]AITD-00499Dynamic Bayesian Network动态贝叶斯网络[1]AITD-00502Dynamic Programming动态规划[1]AITD-00506Early Stopping早停[1]AITD-00512Eigendecomposition特征分解[1]AITD-00513Eigenvalue特征值[1]AITD-00517Element-Wise Product逐元素积[1]AITD-00520Embedding嵌入[1]AITD-00523Empirical Conditional Entropy经验条件熵[1]AITD-00524Empirical Distribution经验分布[1]AITD-00525Empirical Entropy经验熵[1]AITD-00526Empirical Error经验误差[1]AITD-00529Empirical Risk经验风险[1]AITD-00530Empirical Risk Minimization经验风险最小化ERM[1]AITD-00531Encoder编码器[1]AITD-00533Encoding编码[1]AITD-00534End-To-End端到端[1]AITD-00537Energy Function能量函数[1]AITD-00539Energy-Based Model基于能量的模型[1]AITD-00541Ensemble Learning集成学习[1]AITD-00542Ensemble Pruning集成修剪[1]AITD-00543Entropy熵[1]AITD-00546Episode回合[1]AITD-00548Epoch轮[1]AITD-00554Error误差[1]AITD-00555Error Backpropagation Algorithm误差反向传播算法[1]AITD-00556Error Backpropagation误差反向传播[1]AITD-00558Error Correcting Output Codes纠错输出编码ECOC[1]AITD-00561Error Rate错误率[1]AITD-00562Error-Ambiguity Decomposition误差－分歧分解[1]AITD-00565Estimator估计/估计量[1]AITD-00566Euclidean Distance欧氏距离[1]AITD-00571Evidence证据[1]AITD-00572Evidence Lower Bound证据下界ELBO[1]AITD-00576Exact Inference精确推断[1]AITD-00577Example样例[1]AITD-00580Expectation期望[1]AITD-00582Expectation Maximization期望最大化EM[1]AITD-00585Expected Loss期望损失[1]AITD-00592Expert System专家系统[1]AITD-00597Exploding Gradient梯度爆炸[1]AITD-00605Exponential Loss Function指数损失函数[1]AITD-00612Factor因子[1]AITD-00616Factorization因子分解[1]AITD-00626Feature特征[1]AITD-00627Feature Engineering特征工程[1]AITD-00631Feature Map特征图[1]AITD-00633Feature Selection特征选择[1]AITD-00635Feature Vector特征向量[1]AITD-00636Featured Learning特征学习[1]AITD-00638Feedforward前馈[1]AITD-00641Feedforward Neural Network前馈神经网络FNN[1]AITD-00642Few-Shot Learning少试学习[1]AITD-00645Filter滤波器[1]AITD-00647Fine-Tuning微调[1]AITD-00659Fluctuation振荡[1]AITD-00662Forget Gate遗忘门[1]AITD-00666Forward Propagation前向传播/正向传播[1]AITD-00668Forward Stagewise Algorithm前向分步算法[1]AITD-00672Fractionally Strided Convolution微步卷积[1]AITD-00677Frobenius NormFrobenius 范数[1]AITD-00681Full Padding全填充[1]AITD-00688Functional泛函[1]AITD-00691Functional Neuron功能神经元[1]AITD-00702Gated Recurrent Unit门控循环单元GRU[1]AITD-00703Gated RNN门控RNN[1]AITD-00706Gaussian Distribution高斯分布[1]AITD-00708Gaussian Kernel高斯核[1]AITD-00709Gaussian Kernel Function高斯核函数[1]AITD-00710Gaussian Mixture Model高斯混合模型GMM[1]AITD-00713Gaussian Process高斯过程[1]AITD-00719Generalization Ability泛化能力[1]AITD-00720Generalization Error泛化误差[1]AITD-00721Generalization Error Bound泛化误差上界[1]AITD-00722Generalize泛化[1]AITD-00726Generalized Lagrange Function广义拉格朗日函数[1]AITD-00728Generalized Linear Model广义线性模型[1]AITD-00731Generalized Rayleigh Quotient广义瑞利商[1]AITD-00734Generative Adversarial Network生成对抗网络[1][2][3]AITD-00736Generative Model生成式模型[1][2][3]AITD-00742Generator生成器[1]AITD-00743Generator Network生成器网络[1]AITD-00744Genetic Algorithm遗传算法GA[1][2][3]AITD-00747Gibbs Distribution吉布斯分布[1]AITD-00748Gibbs Sampling吉布斯采样/吉布斯抽样[1]AITD-00750Gini Index基尼指数[1]AITD-00752Global Markov Property全局马尔可夫性[1]AITD-00755Global Minimum全局最小[1]AITD-00757Gradient梯度[1]AITD-00762Gradient Clipping梯度截断[1]AITD-00763Gradient Descent梯度下降[1]AITD-00765Gradient Descent Method梯度下降法[1]AITD-00768Gradient Exploding Problem梯度爆炸问题[1]AITD-00771Gram MatrixGram 矩阵[1]AITD-00775Graph Convolutional Network图卷积神经网络/图卷积网络GCN[1]AITD-00776Graph Neural Network图神经网络GNN[1]AITD-00778Graphical Model图模型GM[1]AITD-00788Grid Search网格搜索[1]AITD-00790Ground Truth真实值[1]AITD-00792Hadamard ProductHadamard积[1]AITD-00793Hamming Distance汉明距离[1]AITD-00796Hard Margin硬间隔[1]AITD-00807Hebbian Rule赫布法则[1]AITD-00816Hidden Layer隐藏层[1]AITD-00817Hidden Markov Model隐马尔可夫模型HMM[1]AITD-00820Hidden Variable隐变量[1]AITD-00821Hierarchical Clustering层次聚类[1]AITD-00824Hilbert Space希尔伯特空间[1]AITD-00826Hinge Loss Function合页损失函数/Hinge损失函数[1]AITD-00828Hold-Out留出法[1]AITD-00834Hyperparameter超参数[1][2]AITD-00835Hyperparameter Optimization超参数优化[1]AITD-00837Hypothesis假设[1]AITD-00838Hypothesis Space假设空间[1]AITD-00839Hypothesis Test假设检验[1]AITD-00845Identity Matrix单位矩阵[1]AITD-00850Imitation Learning模仿学习[1]AITD-00855Importance Sampling重要性采样[1]AITD-00856Improved Iterative Scaling改进的迭代尺度法IIS[1]AITD-00858Incremental Learning增量学习[1]AITD-00862Independent and Identically Distributed独立同分布I.I.D.[1]AITD-00866Indicator Function指示函数[1]AITD-00867Individual Learner个体学习器[1]AITD-00868Induction归纳[1]AITD-00869Inductive Bias归纳偏好[1]AITD-00870Inductive Learning归纳学习[1]AITD-00871Inductive Logic Programming归纳逻辑程序设计ILP[1]AITD-00874Inference推断[1]AITD-00878Information Entropy信息熵[1]AITD-00879Information Gain信息增益[1]AITD-00883Inner Product内积[1]AITD-00890Instance示例[1]AITD-00896Internal Covariate Shift内部协变量偏移[1]AITD-00905Inverse Matrix逆矩阵[1]AITD-00907Inverse Resolution逆归结[1]AITD-00912Isometric Mapping等度量映射Isomap[1]AITD-00919Jacobian Matrix雅可比矩阵[1]AITD-00920Jensen InequalityJensen不等式[1]AITD-00923Joint Probability Distribution联合概率分布[1]AITD-00925K-Armed Bandit Problemk-摇臂老虎机[1]AITD-00926K-Fold Cross Validationk 折交叉验证[1]AITD-00930Karush-Kuhn-Tucker ConditionKKT条件[1]AITD-00931Karush–Kuhn–TuckerKarush–Kuhn–Tucker[1]AITD-00934Kernel Function核函数[1]AITD-00937Kernel Method核方法[1]AITD-00939Kernel Trick核技巧[1]AITD-00941Kernelized Linear Discriminant Analysis核线性判别分析KLDA[1]AITD-00944KL DivergenceKL散度[1]AITD-00953L-BFGSL-BFGS[1]AITD-00954Label标签/标记[1]AITD-00957Label Space标记空间[1]AITD-00960Lagrange Duality拉格朗日对偶性[1]AITD-00962Lagrange Multiplier拉格朗日乘子[1]AITD-00963Language Model语言模型[1]AITD-00966Laplace Smoothing拉普拉斯平滑[1]AITD-00967Laplacian Correction拉普拉斯修正[1]AITD-00971Latent Dirichlet Allocation潜在狄利克雷分配LDA[1]AITD-00973Latent Semantic Analysis潜在语义分析LSA[1]AITD-00975Latent Variable潜变量/隐变量[1]AITD-00976Law of Large Numbers大数定律[1]AITD-00978Layer Normalization层规范化[1]AITD-00984Lazy Learning懒惰学习[1]AITD-00987Leaky Relu泄漏修正线性单元/泄漏整流线性单元[1]AITD-00991Learner学习器[1]AITD-00992Learning学习[1]AITD-00994Learning By Analogy类比学习[1]AITD-00995Learning Rate学习率[1]AITD-01000Learning Vector Quantization学习向量量化LVQ[1]AITD-01003Least Square Method最小二乘法LSM[1]AITD-01004Least Squares Regression Tree最小二乘回归树[1]AITD-01009Left Singular Vector左奇异向量[1]AITD-01012Likelihood似然[1]AITD-01016Linear Chain Conditional Random Field线性链条件随机场[1]AITD-01017Linear Classification Model线性分类模型[1]AITD-01018Linear Classifier线性分类器[1]AITD-01020Linear Dependence线性相关[1]AITD-01021Linear Discriminant Analysis线性判别分析LDA[1]AITD-01024Linear Model线性模型[1]AITD-01026Linear Regression线性回归[1][2]AITD-01038Link Function联系函数[1]AITD-01054Local Markov Property局部马尔可夫性[1]AITD-01057Local Minima局部极小[1]AITD-01059Local Minimum局部极小[1]AITD-01060Local Representation局部式表示/局部式表征[1]AITD-01063Log Likelihood对数似然函数[1]AITD-01064Log Linear Model对数线性模型[1]AITD-01065Log-Likelihood对数似然[1]AITD-01067Log-Linear Regression对数线性回归[1]AITD-01071Logistic Function对数几率函数[1]AITD-01073Logistic Regression对数几率回归LR[1]AITD-01075Logit对数几率[1]AITD-01076Long Short Term Memory长短期记忆LSTM[1][2][3]AITD-01077Long Short-Term Memory Network长短期记忆网络LSTM[1]AITD-01082Loopy Belief Propagation环状信念传播LBP[1]AITD-01084Loss Function损失函数[1]AITD-01085Low Rank Matrix Approximation低秩矩阵近似[1]AITD-01088Machine Learning机器学习ML[1]AITD-01093Macron-R宏查全率[1]AITD-01098Manhattan Distance曼哈顿距离[1]AITD-01099Manifold流形[1]AITD-01100Manifold Assumption流形假设[1]AITD-01101Manifold Learning流形学习[1]AITD-01103Margin间隔[1]AITD-01105Marginal Distribution边缘分布[1]AITD-01106Marginal Independence边缘独立性[1]AITD-01109Marginalization边缘化[1]AITD-01111Markov Chain马尔可夫链[1]AITD-01112Markov Chain Monte Carlo马尔可夫链蒙特卡罗MCMC[1]AITD-01113Markov Decision Process马尔可夫决策过程MDP[1]AITD-01114Markov Network马尔可夫网络[1]AITD-01115Markov Process马尔可夫过程[1]AITD-01117Markov Random Field马尔可夫随机场MRF[1]AITD-01118Mask掩码[1]AITD-01122Matrix矩阵[1]AITD-01126Matrix Inversion逆矩阵[1]AITD-01129Max Pooling最大汇聚[1]AITD-01131Maximal Clique最大团[1]AITD-01137Maximum Entropy Model最大熵模型[1]AITD-01139Maximum Likelihood Estimation极大似然估计MLE[1]AITD-01141Maximum Margin最大间隔[1]AITD-01150Mean Filed平均场[1]AITD-01152Mean Pooling平均汇聚[1]AITD-01154Mean Squared Error均方误差[1]AITD-01156Mean-Field平均场[1]AITD-01165Memory Network记忆网络MN[1]AITD-01169Message Passing消息传递[1]AITD-01176Metric Learning度量学习[1]AITD-01180Micro-R微查全率[1]AITD-01185Minibatch小批量[1]AITD-01188Minimal Description Length最小描述长度MDL[1]AITD-01189Minimax Game极小极大博弈[1]AITD-01191Minkowski Distance闵可夫斯基距离[1]AITD-01197Mixture of Experts混合专家模型[1]AITD-01198Mixture-of-Gaussian高斯混合[1]AITD-01201Model模型[1]AITD-01210Model Selection模型选择[1]AITD-01219Momentum Method动量法[1]AITD-01223Monte Carlo Method蒙特卡罗方法[1]AITD-01226Moral Graph端正图/道德图[1]AITD-01227Moralization道德化[1]AITD-01231Multi-Class Classification多分类[1]AITD-01234Multi-Head Attention多头注意力[1]AITD-01235Multi-Head Self-Attention多头自注意力[1]AITD-01237Multi-Kernel Learning多核学习[1]AITD-01239Multi-Label Learning多标记学习[1]AITD-01240Multi-Layer Feedforward Neural Networks多层前馈神经网络[1]AITD-01241Multi-Layer Perceptron多层感知机MLP[1]AITD-01249Multinomial Distribution多项分布[1]AITD-01252Multiple Dimensional Scaling多维缩放[1]AITD-01253Multiple Linear Regression多元线性回归[1]AITD-01254Multitask Learning多任务学习[1]AITD-01257Multivariate Normal Distribution多元正态分布[1]AITD-01258Mutual Information互信息[1]AITD-01261N-Gram ModelN元模型[1]AITD-01263Naive Bayes Classifier朴素贝叶斯分类器[1]AITD-01264Naive Bayes朴素贝叶斯NB[1]AITD-01274Nearest Neighbor Classifier最近邻分类器[1]AITD-01281Negative Log Likelihood负对数似然函数[1]AITD-01287Neighbourhood Component Analysis近邻成分分析NCA[1]AITD-01291Net Input净输入[1]AITD-01300Neural Network神经网络NN[1]AITD-01301Neural Turing Machine神经图灵机NTM[1]AITD-01304Neuron神经元[1]AITD-01305Newton Method牛顿法[1]AITD-01306No Free Lunch Theorem没有免费午餐定理NFL[1]AITD-01310Noise-Contrastive Estimation噪声对比估计NCE[1]AITD-01311Nominal Attribute列名属性[1]AITD-01313Non-Convex Optimization非凸优化[1]AITD-01318Non-Metric Distance非度量距离[1]AITD-01319Non-Negative Matrix Factorization非负矩阵分解NMF[1]AITD-01320Non-Ordinal Attribute无序属性[1]AITD-01334Norm范数[1]AITD-01336Normal Distribution正态分布[1]AITD-01338Normalization规范化[1]AITD-01342Nuclear Norm核范数[1]AITD-01344Number of Epochs轮数[1]AITD-01347Numerical Attribute数值属性[1]AITD-01351Object Detection目标检测[1]AITD-01355Oblique Decision Tree斜决策树[1]AITD-01358Occam's Razor奥卡姆剃刀[1]AITD-01359Odds几率[1]AITD-01360Off-Policy异策略[1]AITD-01364On-Policy同策略[1]AITD-01366One-Dependent Estimator独依赖估计ODE[1]AITD-01367One-Hot独热[1]AITD-01370Online Learning在线学习[1]AITD-01376Optimizer优化器[1]AITD-01378Ordinal Attribute有序属性[1]AITD-01380Orthogonal正交[1]AITD-01382Orthogonal Matrix正交矩阵[1]AITD-01384Out-Of-Bag Estimate包外估计[1]AITD-01386Outlier异常点[1]AITD-01392Over-Parameterized过度参数化[1]AITD-01395Overfitting过拟合[1]AITD-01398Oversampling过采样[1]AITD-01400Pac-LearnablePAC可学习[1]AITD-01401Padding填充[1]AITD-01404Pairwise Markov Property成对马尔可夫性[1]AITD-01405Parallel Distributed Processing分布式并行处理PDP[1]AITD-01407Parameter参数[1]AITD-01408Parameter Estimation参数估计[1]AITD-01411Parameter Space参数空间[1]AITD-01412Parameter Tuning调参[1]AITD-01416Parametric ReLU参数化修正线性单元/参数化整流线性单元PReLU[1]AITD-01418Part-Of-Speech Tagging词性标注[1]AITD-01419Partial Derivative偏导数[1]AITD-01420Partially Observable Markov Decision Processes部分可观测马尔可夫决策过程POMDP[1]AITD-01423Partition Function配分函数[1]AITD-01428Perceptron感知机[1]AITD-01429Performance Measure性能度量[1]AITD-01432Perplexity困惑度[1]AITD-01444Pointer Network指针网络[1]AITD-01446Policy策略[1]AITD-01448Policy Gradient策略梯度[1]AITD-01450Policy Iteration策略迭代[1]AITD-01453Polynomial Kernel Function多项式核函数[1]AITD-01456Pooling汇聚[1]AITD-01458Pooling Layer汇聚层[1]AITD-01465Positive Definite Matrix正定矩阵[1]AITD-01473Post-Pruning后剪枝[1]AITD-01477Potential Function势函数[1]AITD-01478Power Method幂法[1]AITD-01481Pre-Training预训练[1]AITD-01482Precision查准率/准确率[1]AITD-01485Prepruning预剪枝[1]AITD-01487Primal Problem主问题[1]AITD-01488Primary Visual Cortex初级视觉皮层[1]AITD-01489Principal Component Analysis主成分分析PCA[1]AITD-01491Prior先验[1]AITD-01498Probabilistic Context-Free Grammar概率上下文无关文法[1]AITD-01501Probabilistic Graphical Model概率图模型PGM[1]AITD-01504Probabilistic Model概率模型[1]AITD-01508Probability Density Function概率密度函数PDF[1]AITD-01509Probability Distribution概率分布[1]AITD-01512Probably Approximately Correct概率近似正确PAC[1]AITD-01517Proposal Distribution提议分布[1]AITD-01520Prototype-Based Clustering原型聚类[1]AITD-01521Proximal Gradient Descent近端梯度下降PGD[1]AITD-01522Pruning剪枝[1]AITD-01528Quadratic Loss Function平方损失函数[1]AITD-01529Quadratic Programming二次规划[1]AITD-01536Quasi Newton Method拟牛顿法[1]AITD-01541Radial Basis Function径向基函数RBF[1]AITD-01545Random Forest随机森林RF[1]AITD-01547Random Sampling随机采样[1]AITD-01548Random Search随机搜索[1]AITD-01550Random Variable随机变量[1]AITD-01551Random Walk随机游走[1]AITD-01561Recall查全率/召回率[1]AITD-01564Receptive Field感受野[1]AITD-01569Reconstruction Error重构误差[1]AITD-01573Rectified Linear Unit修正线性单元/整流线性单元ReLU[1]AITD-01579Recurrent Neural Network循环神经网络RNN[1][2][3]AITD-01580Recursive Neural Network递归神经网络RecNN[1]AITD-01585Regression回归[1]AITD-01586Regularization正则化[1]AITD-01587Regularizer正则化项[1]AITD-01588Reinforcement Learning强化学习RL[1][2]AITD-01592Relative Entropy相对熵[1]AITD-01594Reparameterization再参数化/重参数化[1]AITD-01597Representation表示[1]AITD-01598Representation Learning表示学习[1]AITD-01600Representer Theorem表示定理[1]AITD-01601Reproducing Kernel Hilbert Space再生核希尔伯特空间RKHS[1]AITD-01602Rescaling再缩放[1]AITD-01604Reset Gate重置门[1]AITD-01606Residual Connection残差连接[1]AITD-01608Residual Network残差网络ResNet[1]AITD-01612Restricted Boltzmann Machine受限玻尔兹曼机RBM[1]AITD-01619Reward奖励[1]AITD-01621Ridge Regression岭回归[1]AITD-01624Right Singular Vector右奇异向量[1]AITD-01625Risk风险[1]AITD-01627Robustness稳健性[1]AITD-01628Root Node根结点[1]AITD-01632Rule Learning规则学习[1]AITD-01635Saddle Point鞍点[1]AITD-01640Sample样本[1]AITD-01641Sample Complexity样本复杂度[1]AITD-01643Sample Space样本空间[1]AITD-01649Scalar标量[1]AITD-01661Selective Ensemble选择性集成[1]AITD-01662Self Information自信息[1]AITD-01663Self-Attention自注意力[1]AITD-01668Self-Organizing Map自组织映射网SOM[1]AITD-01670Self-Training自训练[1]AITD-01675Semi-Definite Programming半正定规划[1]AITD-01676Semi-Naive Bayes Classifiers半朴素贝叶斯分类器[1]AITD-01677Semi-Restricted Boltzmann Machine半受限玻尔兹曼机[1]AITD-01679Semi-Supervised Clustering半监督聚类[1]AITD-01680Semi-Supervised Learning半监督学习[1][2][3]AITD-01681Semi-Supervised Support Vector Machine半监督支持向量机S3VM[1]AITD-01682Sentiment Analysis情感分析[1]AITD-01685Separating Hyperplane分离超平面[1]AITD-01690Sequential Covering序贯覆盖[1]AITD-01708Sigmoid Belief NetworkSigmoid信念网络SBN[1]AITD-01710Sigmoid FunctionSigmoid函数[1]AITD-01712Signed Distance带符号距离[1]AITD-01714Similarity Measure相似度度量[1]AITD-01719Simulated Annealing模拟退火[1]AITD-01720Simultaneous Localization And Mapping即时定位与地图构建SLAM[1]AITD-01724Singular Value奇异值[1]AITD-01725Singular Value Decomposition奇异值分解SVD[1]AITD-01729Skip-Gram Model跳元模型[1]AITD-01734Smoothing平滑[1]AITD-01738Soft Margin软间隔[1]AITD-01739Soft Margin Maximization软间隔最大化[1]AITD-01742SoftmaxSoftmax/软最大化[1]AITD-01743Softmax FunctionSoftmax函数/软最大化函数[1]AITD-01744Softmax RegressionSoftmax回归/软最大化回归[1]AITD-01747Softplus FunctionSoftplus函数[1]AITD-01749Span张成子空间[1]AITD-01753Sparse Coding稀疏编码[1]AITD-01757Sparse Representation稀疏表示[1]AITD-01759Sparsity稀疏性[1]AITD-01760Specialization特化[1]AITD-01769Splitting Variable切分变量[1]AITD-01775Squashing Function挤压函数[1]AITD-01785Standard Normal Distribution标准正态分布[1]AITD-01787State状态[1]AITD-01791State Value Function状态值函数[1]AITD-01792State-Action Value Function状态-动作值函数[1]AITD-01797Stationary Distribution平稳分布[1]AITD-01798Stationary Point驻点[1]AITD-01800Statistical Learning统计学习[1]AITD-01807Steepest Descent最速下降法[1]AITD-01813Stochastic Gradient Descent随机梯度下降[1]AITD-01815Stochastic Matrix随机矩阵[1]AITD-01820Stochastic Process随机过程[1]AITD-01822Stratified Sampling分层采样[1]AITD-01824Stride步幅[1]AITD-01830Structural Risk结构风险[1]AITD-01831Structural Risk Minimization结构风险最小化SRM[1]AITD-01839Subsample子采样[1]AITD-01840Subsampling下采样[1]AITD-01843Subset Search子集搜索[1]AITD-01844Subspace子空间[1]AITD-01852Supervised Learning监督学习[1]AITD-01856Support Vector支持向量[1]AITD-01857Support Vector Expansion支持向量展式[1]AITD-01858Support Vector Machine支持向量机SVM[1]AITD-01860Surrogat Loss替代损失[1]AITD-01861Surrogate Function替代函数[1]AITD-01862Surrogate Loss Function代理损失函数[1]AITD-01867Symbolism符号主义[1]AITD-01878Tangent Propagation正切传播[1]AITD-01883Teacher Forcing强制教学[1]AITD-01888Temporal-Difference Learning时序差分学习[1]AITD-01889Tensor张量[1]AITD-01894Test Error测试误差[1]AITD-01895Test Sample测试样本[1]AITD-01896Test Set测试集[1]AITD-01898Threshold阈值[1]AITD-01899Threshold Logic Unit阈值逻辑单元[1]AITD-01900Threshold-Moving阈值移动[1]AITD-01901Tied Weight捆绑权重[1]AITD-01902Tikhonov RegularizationTikhonov正则化[1]AITD-01904Time Delay Neural Network时延神经网络TDNN[1]AITD-01905Time Homogenous Markov Chain时间齐次马尔可夫链[1]AITD-01906Time Step时间步[1]AITD-01908Token词元[1]AITD-01909Token词元[1]AITD-01910Tokenization词元化[1]AITD-01911Tokenizer词元分析器[1]AITD-01915Topic Model话题模型[1]AITD-01916Topic Modeling话题分析[1]AITD-01922Trace迹[1]AITD-01924Training训练[1]AITD-01926Training Error训练误差[1]AITD-01928Training Sample训练样本[1]AITD-01929Training Set训练集[1]AITD-01933Transductive Learning直推学习[1]AITD-01934Transductive Transfer Learning直推迁移学习[1]AITD-01935Transfer Learning迁移学习[1]AITD-01937TransformerTransformer[1]AITD-01938Transformer ModelTransformer模型[1]AITD-01943Transpose转置[1]AITD-01944Transposed Convolution转置卷积[1]AITD-01948Trial And Error试错[1]AITD-01953Trigram三元语法[1]AITD-01960Turing Machine图灵机[1]AITD-01971Underfitting欠拟合[1]AITD-01976Undersampling欠采样[1]AITD-01980Undirected Graphical Model无向图模型[1]AITD-01987Uniform Distribution均匀分布[1]AITD-01990Unigram一元语法[1]AITD-01992Unit单元[1]AITD-02000Universal Approximation Theorem通用近似定理[1]AITD-02001Universal Approximator通用近似器[1]AITD-02002Universal Function Approximator通用函数近似器[1]AITD-02003Unknown Token未知词元[1]AITD-02010Unsupervised Layer-Wise Training无监督逐层训练[1]AITD-02012Unsupervised Learning无监督学习UL[1]AITD-02014Update Gate更新门[1]AITD-02017Upsampling上采样[1]AITD-02018V-StructureV型结构[1]AITD-02020Validation Set验证集[1]AITD-02021Validity Index有效性指标[1]AITD-02023Value Function Approximation值函数近似[1]AITD-02024Value Iteration值迭代[1]AITD-02027Vanishing Gradient Problem梯度消失问题[1]AITD-02028Vapnik-Chervonenkis DimensionVC维[1]AITD-02029Variable Elimination变量消去[1]AITD-02030Variance方差[1]AITD-02033Variational Autoencoder变分自编码器VAE[1]AITD-02040Variational Inference变分推断[1]AITD-02041Vector向量[1]AITD-02043Vector Space Model向量空间模型VSM[1]AITD-02045Version Space版本空间[1]AITD-02050Viterbi Algorithm维特比算法[1]AITD-02051Vocabulary词表[1]AITD-02055Warp线程束[1]AITD-02060Weak Learner弱学习器[1]AITD-02062Weakly Supervised Learning弱监督学习[1]AITD-02063Weight权重[1]AITD-02064Weight Decay权重衰减[1]AITD-02067Weight Sharing权共享[1]AITD-02071Weighted Voting加权投票[1]AITD-02072Whitening白化[1]AITD-02075Winner-Take-All胜者通吃[1]AITD-02076Within-Class Scatter Matrix类内散度矩阵[1]AITD-02077Word Embedding词嵌入[1]AITD-02078Word Sense Disambiguation词义消歧[1]AITD-02079Word Vector词向量[1]AITD-02087Zero Padding零填充[1]AITD-02091Zero-Shot Learning零试学习[1]AITD-02092Zipf's Law齐普夫定律[1]