Absolute value rectification |
绝对值整流 |
Activation Function |
激活函数 |
Accumulated error backpropagation |
累积误差反向传播 |
Acoustic modeling |
声学建模 |
Acquisition funtion |
采集函数 |
Actor-critic method |
行为-评判方法 |
Adaptive bitrate (ABR) algorithm |
自适应比特率算法 |
Adaptive Resonance Theory/ART |
自适应谐振理论 |
Addictive model |
加性模型 |
Adversarial example |
对抗样本 |
Adversarial Networks |
对抗网络 |
Affine Layer |
仿射层 |
Affinity matrix |
亲和矩阵 |
Agent |
智能体 |
Algorithm |
算法 |
Alpha-beta pruning |
α-β剪枝 |
Alternative splicing dataset |
选择性剪接数据集 |
Analytic gradient |
解析梯度 |
Ancestral Sampling |
原始采样 |
Annealed importance sampling |
退火重要采样 |
Anomaly detection |
异常检测 |
Application-specific integrated circuit |
专用集成电路 |
Approximate Bayesian computation |
近似贝叶斯计算 |
Approximate inference |
近似推断 |
Approximation |
近似 |
Architecture |
架构 |
Area Under ROC Curve/AUC |
Roc 曲线下面积 |
Artificial General Intelligence/AGI |
通用人工智能 |
Artificial Intelligence/AI |
人工智能 |
Association analysis |
关联分析 |
Asymptotically unbiased |
渐近无偏 |
Asynchoronous Stochastic Gradient Descent |
异步随机梯度下降 |
Attention mechanism |
注意力机制 |
Attribute conditional independence assumption |
属性条件独立性假设 |
Attribute space |
属性空间 |
Attribute value |
属性值 |
Augmented Lagrangian |
增广拉格朗日法 |
Autoencoder |
自编码器 |
Automatic differentiation |
自动微分 |
Automatic speech recognition/ASR |
自动语音识别 |
Automatic summarization |
自动摘要 |
Auto-regressive network |
自回归网络 |
Average gradient |
平均梯度 |
Average-Pooling |
平均池化 |
Backpropagation/BP |
反向传播 |
Backpropagation Through Time |
通过时间的反向传播 |
Backward induction |
逆向归纳 |
Bag of words/BoW |
词袋 |
Base learner |
基学习器 |
Base learning algorithm |
基学习算法 |
Batch |
批次 |
Batch Normalization/BN |
批次归一化 |
Bayes decision rule |
贝叶斯判定准则 |
Bayes error |
贝叶斯误差 |
Bayes Model Averaging/BMA |
贝叶斯模型平均 |
Bayes optimal classifier |
贝叶斯最优分类器 |
Bayesian decision theory |
贝叶斯决策论 |
Bayesian network |
贝叶斯网络 |
Bayesian optimization |
贝叶斯优化 |
Beam search |
束搜索 |
Bechmark |
基准 |
Belief network |
信念网络 |
Bellman equation |
贝尔曼方程 |
Between-class scatter matrix |
类间散度矩阵 |
Bias |
偏置 / 偏差 |
Biased |
有偏 |
Biased importance sampling |
有偏重要采样 |
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 |
双向长短期记忆 |
Binary classification |
二元分类 |
Binary relation |
二元关系 |
Binary sparse coding |
二值稀疏编码 |
Binomial distribution |
二项分布 |
Binomial test |
二项检验 |
Bi-partition |
二分法 |
Block coordinate descent |
块坐标下降 |
Block Gibbs Sampling |
块吉布斯采样 |
Boilerplate code |
样板代码 |
Boltzmann distribution |
玻尔兹曼分布 |
Boltzmann machine |
玻尔兹曼机 |
Bootstrap sampling |
自助采样法/可重复采样/有放回采样 |
Bootstrapping |
自助法 |
Bottleneck layer |
瓶颈层 |
Bounding Boxes |
边界框 |
Break-Event Point/BEP |
平衡点 |
Bridge sampling |
桥式采样 |
Broadcasting |
广播 |
Burning-in |
磨合 |
Calculus of variations |
变分法 |
Calibration |
校准 |
Canonical |
正则的 |
Cascade/Coalesced |
级联 |
Cascade-Correlation |
级联相关 |
Categorical attribute |
分类属性 |
Categorical distribution |
范畴分布、分类分布 |
Causal factor |
因果因子 |
Causal modeling |
因果模型 |
Centered difference |
中心差分 |
Central limit theorem |
中心极限定理 |
Chain rule |
链式法则 |
Chordal graph |
弦图 |
Class-conditional probability |
类条件概率 |
Classification and regression tree/CART |
分类与回归树 |
Classifier |
分类器 |
Class-imbalance |
分类不平衡 |
Clip gradient |
梯度截断 |
Clique potential |
团势能 |
Closed-form |
闭式 |
Cluster |
簇/类/集群 |
Cluster analysis |
聚类分析 |
Clustering |
聚类 |
Clustering ensemble |
聚类集成 |
Co-adapting |
共适应 |
Coding matrix |
编码矩阵 |
Collaborative filtering |
协同过滤 |
COLT |
国际学习理论会议 |
Committee-based learning |
基于委员会的学习 |
Competitive learning |
竞争型学习 |
Complete graph |
完全图 |
Component learner |
组件学习器 |
Comprehensibility |
可解释性 |
Computation Cost |
计算成本 |
Computational Linguistics |
计算语言学 |
Computer vision |
计算机视觉 |
Concept drift |
概念漂移 |
Concept Learning System/CLS |
概念学习系统 |
Conditional entropy |
条件熵 |
Conditional mutual information |
条件互信息 |
Conditional Probability Table/CPT |
条件概率表 |
Conditional random field/CRF |
条件随机场 |
Conditional risk |
条件风险 |
Confidence |
置信度 |
Confusion matrix |
混淆矩阵 |
Conjugate directions |
共轭方向 |
Conjugate distribution |
共轭分布 |
Conjugate gradient |
共轭梯度 |
Connection weight |
连接权 |
Connectionism |
连结主义 |
Consistency |
一致性/相合性 |
Consistency convergence |
一致性收敛 |
Contingency table |
列联表 |
Continuation method |
延拓法 |
Continuous attribute |
连续属性 |
Contractive autoencoder |
收缩自编码器 |
Contractive neural network |
收缩神经网络 |
Convex optimization |
凸优化 |
Convergence |
收敛 |
Conversational agent |
会话智能体 |
Convex quadratic programming |
凸二次规划 |
Convexity |
凸性 |
Convolutional Boltzmann Machine |
卷积玻尔兹曼机 |
Convolutional neural network/CNN |
卷积神经网络 |
Co-occurrence |
同现 |
Coordinate descent |
坐标下降 |
Correlation coefficient |
相关系数 |
Cosine similarity |
余弦相似度 |
Cost curve |
成本曲线 |
Cost Function |
成本函数 |
Cost matrix |
成本矩阵 |
Cost-sensitive |
成本敏感 |
Covariance |
协方差 |
Covariance matrix |
协方差矩阵 |
Cross entropy |
交叉熵 |
Cross validation |
交叉验证 |
Cross-correlation |
互相关函数 |
Crowdsourcing |
众包 |
Cumulative function |
累积函数 |
Curse of dimensionality |
维度灾难 |
Curve-fitting |
曲线拟合 |
Cut point |
截断点 |
Cutting plane algorithm |
割平面法 |
Data generating distribution |
数据生成分布 |
Data mining |
数据挖掘 |
Data parallelism |
数据并行 |
Data set |
数据集 |
Data Wrangling |
数据整理 |
Dataset augmentation |
数据集增强 |
Debugging strategy |
调试策略 |
Decision Boundary |
决策边界 |
Decision stump |
决策树桩 |
Decision tree |
决策树/判定树 |
Deconvolutional Network |
解卷积网络 |
Deduction |
演绎 |
Deep Belief Network |
深度信念网络 |
Deep Boltzmann Machine |
深度玻尔兹曼机 |
Deep circuit |
深度回路 |
Deep Convolutional Generative Adversarial Network/DCGAN |
深度卷积生成对抗网络 |
Deep generative model |
深度生成模型 |
Deep learning |
深度学习 |
Deep Q-Learning |
深度 Q 学习 |
Deep Q-Network |
深度 Q 网络 |
Denoising autoencoder |
去噪自编码器 |
Denoising score matching |
去噪得分匹配 |
Density estimation |
密度估计 |
Density-based clustering |
密度聚类 |
Detailed balance |
细致平衡 |
Determinant |
行列式 |
Deterministic |
确定性 |
Diagonal matrix |
对角矩阵 |
Differentiable neural computer |
可微分神经计算机 |
Differential entropy |
微分熵 |
Differential equation |
微分方程 |
Dimensionality reduction algorithm |
降维算法 |
Directed edge |
有向边 |
Directed graphical model |
有向图模型 |
Directional derivative |
方向导数 |
Dirichlet distribution |
狄利克雷分布 |
Disagreement measure |
不合度量 |
Discriminative model |
判别模型 |
Discriminator |
判别器 |
Discriminator network |
判别器网络 |
Distance measure |
距离度量 |
Distance metric learning |
距离度量学习 |
Distribution |
分布 |
Divergence |
散度 |
Diversity measure |
多样性度量/差异性度量 |
Domain adaption |
领域自适应 |
Dominant strategy |
占优策略 |
Double backprop |
双反向传播 |
Doubly block circulant matrix |
双重分块循环矩阵 |
Downsampling |
下采样 |
D-separation/Directed separation |
有向分离 |
Dual problem |
对偶问题 |
Dummy node |
哑结点 |
Dynamic Fusion |
动态融合 |
Dynamic programming |
动态规划 |
Echo state network |
回声状态网络 |
Edge device |
边缘设备 |
Eigendecomposition |
特征分解 |
Eigenvalue |
特征值 |
Eigenvalue decomposition |
特征值分解 |
Eigenvector |
特征向量 |
Element-wise product |
元素对应乘积 |
Ellipsoid method |
椭球法 |
Embedding |
嵌套 |
Emotional analysis |
情绪分析 |
Empirical conditional entropy |
经验条件熵 |
Empirical entropy |
经验熵 |
Empirical error |
经验误差 |
Empirical risk |
经验风险 |
End-to-End |
端到端 |
Energy-based model |
基于能量的模型 |
Ensemble learning |
集成学习 |
Ensemble pruning |
集成修剪 |
Epochs |
轮数/周期 |
Error Correcting Output Codes/ECOC |
纠错输出码 |
Error rate |
错误率 |
Error-ambiguity decomposition |
误差-分歧分解 |
Euclidean distance |
欧氏距离 |
Euclidean norm |
欧几里得范数 |
Evolutionary computation |
演化计算 |
Exact |
确切的 |
Expectation-Maximization/EM |
期望最大化 |
Expected loss |
期望损失 |
Expert network |
专家网络 |
Explaining away effect |
相消解释作用 |
Exploding Gradient Problem |
梯度爆炸问题 |
Exploitation |
利用 |
Exploration |
探索 |
Exponential loss function |
指数损失函数 |
Extreme Learning Machine/ELM |
超限学习机 |
Factor analysis |
因子分析 |
Factorization |
因子分解 |
Factors of variation |
变差因素 |
False negative |
假负例 |
False positive |
假正例 |
False Positive Rate/FPR |
假正例率 |
Fault-tolerant asynchronous training |
容错异步训练 |
Feature engineering |
特征工程 |
Feature extractor |
特征提取器 |
Feature map |
特征图 |
Feature selection |
特征选择 |
Feature vector |
特征向量 |
Featured Learning |
特征学习 |
Feedforward Neural Networks/FNN |
前馈神经网络 |
Field Programmable Gated Array |
现场可编程门阵列 |
Fine-tuning |
精调 |
Finite difference |
有限差分 |
Fixed point equation |
不动点方程 |
Flipping output |
翻转法 |
Fluctuation |
震荡 |
Folk Theorem |
无名氏定理 |
Forget gate |
遗忘门 |
Forward stagewise algorithm |
前向分步算法 |
Fourier transform |
傅立叶变换 |
Frequentist |
频率主义学派 |
Frequentist probability |
频率派概率 |
Full-rank matrix |
满秩矩阵 |
Functional derivative |
泛函导数 |
Functional neuron |
功能神经元 |
Gain ratio |
增益率 |
Game payoff |
博弈效用 |
Game theory |
博弈论 |
Gated recurrent net/GRN |
门控循环网络 |
Gaussian kernel function |
高斯核函数 |
Gaussian Mixture Model |
高斯混合模型 |
Gaussian Process |
高斯过程 |
General Problem Solving |
通用问题求解 |
Generalization |
泛化 |
Generalization error |
泛化误差 |
Generalization error bound |
泛化误差上界 |
Generalized Lagrange function |
广义拉格朗日函数 |
Generalized linear model |
广义线性模型 |
Generalized pseudolikelihood |
广义伪似然 |
Generalized Rayleigh quotient |
广义瑞利商 |
Generalized score matching |
广义得分匹配 |
Generative Adversarial Networks/GAN |
生成对抗网络 |
Generative Model |
生成模型 |
Generative moment matching network |
生成矩匹配网络 |
Generator |
生成器 |
Genetic Algorithm/GA |
遗传算法 |
Giant magnetoresistance |
巨磁阻 |
Gibbs sampling |
吉布斯采样 |
Gini index |
基尼指数 |
Global contrast normalization |
全局对比度归一化 |
Global minimum |
全局最小 |
Global Optimization |
全局优化 |
Gradient boosting tree |
梯度提升树 |
Gradient Descent |
梯度下降 |
Gradient energy distribution |
梯度能量分布 |
Graph theory |
图论 |
Grid search |
网格搜索 |
Ground-truth |
真相/真实 |
Hard margin |
硬间隔 |
Hard voting |
硬投票 |
Harmonic mean |
调和平均 |
Hesse matrix |
海赛矩阵 |
Heterogeneous Information Network/HIN |
异质信息网络 |
Hidden dynamic model |
隐动态模型 |
Hidden layer |
隐藏层 |
Hidden Markov Model/HMM |
隐马尔可夫模型 |
Hierarchical clustering |
层次聚类 |
Hilbert space |
希尔伯特空间 |
Hinge loss function |
合页损失函数 |
Hold-out |
留出法 |
Homogeneous |
同质 |
Hybrid computing |
混合计算 |
Hyperparameter |
超参数 |
Hypothesis |
假设 |
Hypothesis test |
假设检验 |
ICML |
国际机器学习会议 |
Identity matrix |
单位矩阵 |
Image restoration |
图像复原 |
Imperfect Information |
不完美信息 |
Improved iterative scaling/IIS |
改进的迭代尺度法 |
Incremental learning |
增量学习 |
Independent and identically distributed/i.i.d. |
独立同分布 |
Independent Component Analysis/ICA |
独立成分分析 |
Independent subspace analysis |
独立子空间分析 |
Indicator function |
指示函数 |
Individual learner |
个体学习器 |
Induction |
归纳 |
Inductive bias |
归纳偏好 |
Inductive learning |
归纳学习 |
Inductive Logic Programming/ILP |
归纳逻辑程序设计 |
Inequality constraint |
不等式约束 |
Inference |
推断 |
Information entropy |
信息熵 |
Information gain |
信息增益 |
Input layer |
输入层 |
Insensitive loss |
不敏感损失 |
Instance segmentation |
实例分割 |
Inter-cluster similarity |
簇间相似度 |
International Conference for Machine Learning/ICML |
国际机器学习大会 |
Intra-cluster similarity |
簇内相似度 |
Intrinsic value |
固有值 |
Invariance |
不变性 |
Invert |
求逆 |
Isometric Mapping/Isomap |
等度量映射 |
Isotonic regression |
等分回归 |
Iterative Dichotomiser |
迭代二分器 |
Jensen-Shannon Divergence/JSD |
JS 散度 |
Kernel method |
核方法 |
Kernel trick |
核技巧 |
Kernelized Linear Discriminant Analysis/KLDA |
核线性判别分析 |
K-fold cross validation |
k 折交叉验证/k 倍交叉验证 |
K-Means Clustering |
K - 均值聚类 |
K-Nearest Neighbours Algorithm/KNN |
K近邻算法 |
Knowledge base |
知识库 |
Knowledge Engineering |
知识工程 |
Knowledge graph |
知识图谱 |
Knowledge Representation |
知识表征 |
Label space |
标记空间 |
Lagrange duality |
拉格朗日对偶性 |
Lagrange multiplier |
拉格朗日乘子 |
Laplace smoothing |
拉普拉斯平滑 |
Laplacian correction |
拉普拉斯修正 |
Latent Dirichlet Allocation/LDA |
隐狄利克雷分布 |
Latent semantic analysis |
潜在语义分析 |
Latent variable |
隐变量 |
Law of large number |
大数定理 |
Layer-wise Adaptive Rate Scaling/LARS |
层级对应的适应率缩放 |
Lazy learning |
懒惰学习 |
Leaky ReLU |
渗漏整流线性单元 |
Learner |
学习器 |
Learning by analogy |
类比学习 |
Learning rate |
学习速率 |
Learning Vector Quantization/LVQ |
学习向量量化 |
Least squares regression tree |
最小二乘回归树 |
Leave-One-Out/LOO |
留一法 |
Lebesgue-integrable |
勒贝格可积 |
Left eigenvector |
左特征向量 |
Leibniz’s rule |
莱布尼兹法则 |
Linear Discriminant Analysis/LDA |
线性判别 |
Linear model |
线性模型 |
Linear Regression |
线性回归 |
Linear threshold units |
线性阀值单元 |
Link function |
联系函数 |
Local conditional probability distribution |
局部条件概率分布 |
Local contrast normalization |
局部对比度归一化 |
Local curvature |
局部曲率 |
Local Invariances |
局部不变性 |
Local Markov property |
局部马尔可夫性 |
Local minimum |
局部最小 |
Log likelihood |
对数似然 |
Log odds/logit |
对数几率 |
Logistic Regression |
Logistic 回归 |
Log-likelihood |
对数似然 |
Log-linear regression |
对数线性回归 |
Long-Short Term Memory/LSTM |
长短期记忆 |
Long-term dependency |
长期依赖 |
Loopy belief propagation |
环状信念传播 |
Loss function |
损失函数 |
Low rank matrix approximation |
低秩矩阵近似 |
Machine translation/MT |
机器翻译 |
Macron-P |
宏查准率 |
Macron-R |
宏查全率 |
Main diagonal |
主对角线 |
Majority voting |
绝对多数投票法 |
Manifold assumption |
流形假设 |
Manifold learning |
流形学习 |
Manifold tangent classifier |
流形正切分类器 |
Margin theory |
间隔理论 |
Marginal distribution |
边缘分布 |
Marginal independence |
边缘独立性 |
Marginal probability distribution |
边缘概率分布 |
Marginalization |
边际化 |
Markov Chain |
马尔可夫链 |
Markov Chain Monte Carlo/MCMC |
马尔可夫链蒙特卡罗方法 |
Markov Random Field |
马尔可夫随机场 |
Matrix inversion |
逆矩阵 |
Maximal clique |
最大团 |
Maximum A Posteriori |
最大后验 |
Maximum Likelihood Estimation/MLE |
极大似然估计/极大似然法 |
Maximum margin |
最大间隔 |
Maximum weighted spanning tree |
最大带权生成树 |
Max-Pooling |
最大池化 |
Mean product of Student t-distribution |
学生 t 分布均值乘积 |
Mean squared error |
均方误差 |
Mean-covariance restricted Boltzmann machine |
均值-协方差受限玻尔兹曼机 |
Measure theory |
测度论 |
Meta-learner |
元学习器 |
Metric learning |
度量学习 |
Micro-P |
微查准率 |
Micro-R |
微查全率 |
Mini-Batch SGD |
小批次随机梯度下降 |
Minimal Description Length/MDL |
最小描述长度 |
Minimax game |
极小极大博弈 |
Misclassification cost |
误分类成本 |
Mixture density network |
混合密度网络 |
Mixture of experts |
混合专家 |
Model predictive control (MPC) |
模型预测控制 |
Moment matching |
矩匹配 |
Momentum |
动量 |
Monte Carlo Estimate |
蒙特卡洛估计 |
Moore’s Law |
摩尔定律 |
Moral graph |
道德图/端正图 |
Multi-class classification |
多类别分类 |
Multi-document summarization |
多文档摘要 |
Multi-kernel learning |
多核学习 |
Multi-layer feedforward neural networks |
多层前馈神经网络 |
Multilayer Perceptron/MLP |
多层感知器 |
Multimodal learning |
多模态学习 |
Multinomial distribution |
多项分布 |
Multiple Dimensional Scaling |
多维缩放 |
Multiple linear regression |
多元线性回归 |
Multi-response Linear Regression/MLR |
多响应线性回归 |
Multivariate normal distribution |
多维正态分布 |
Mutual information |
互信息 |
Naive bayes |
朴素贝叶斯 |
Naive Bayes Classifier |
朴素贝叶斯分类器 |
Named entity recognition |
命名实体识别 |
Nash equilibrium |
纳什均衡 |
Nash reversion |
纳什回归 |
Natural language generation/NLG |
自然语言生成 |
Natural language processing |
自然语言处理 |
Nearest-neighbor search |
最近邻搜索 |
Negative class |
负类 |
Negative correlation |
负相关法 |
Negative definite |
负定 |
Negative Log Likelihood |
负对数似然 |
Negative semidefinite |
半负定 |
Neighbourhood Component Analysis/NCA |
近邻成分分析 |
Neural Machine Translation |
神经机器翻译 |
Newton method |
牛顿法 |
Conference on Neural Information Processing Systems/NIPS |
国际神经信息处理系统会议 |
No Free Lunch Theorem/NFL |
没有免费的午餐定理 |
Noise-contrastive estimation |
噪音对比估计 |
Nominal attribute |
列名属性 |
Non-convex optimization |
非凸优化 |
Nonlinear model |
非线性模型 |
Non-linear oscillation |
非线性振荡 |
Non-metric distance |
非度量距离 |
Non-negative matrix factorization |
非负矩阵分解 |
Non-ordinal attribute |
无序属性 |
Non-Saturating Game |
非饱和博弈 |
Norm |
范数 |
Normalization |
归一化 |
Nuclear norm |
核范数 |
Numerical attribute |
数值属性 |
Numerical optimization |
数值优化 |
Objective function |
目标函数 |
Oblique decision tree |
斜决策树 |
Occam’s razor |
奥卡姆剃刀 |
Odds |
几率 |
Offline inference |
离线推断 |
Off-Policy |
离策略 |
Offset vector |
偏移向量 |
One shot learning |
一次性学习 |
One-Dependent Estimator/ODE |
独依赖估计 |
Online inference |
在线推断 |
On-Policy |
在策略 |
Ordinal attribute |
有序属性 |
Orthogonal matrix |
正交矩阵 |
Orthonormal |
标准正交 |
Outlier |
异常值/离群值 [[5]] |
Out-of-bag estimate |
包外估计 |
Output layer |
输出层 |
Output smearing |
输出调制法 |
Overcomplete |
过完备 |
Overfitting |
过拟合/过配 |
Oversampling |
过采样 |
Paired t-test |
成对 t 检验 |
Pairwise |
成对型 |
Pairwise Markov property |
成对马尔可夫性 |
Parallel tempering |
并行回火 |
Parameter |
参数 |
Parameter estimation |
参数估计 |
Parameter Server |
参数服务器 |
Parameter tuning |
调参 |
Parse tree |
解析树 |
Partial derivative |
偏导数 |
Particle Swarm Optimization/PSO |
粒子群优化算法 |
Part-of-speech tagging |
词性标注 |
Perceptron |
感知机 |
Performance measure |
性能度量 |
Permutation invariant |
置换不变性 |
Perplexity |
困惑度 |
Pictorial structure |
图形结构 |
Plug and Play Generative Network |
即插即用生成网络 |
Plurality voting |
相对多数投票法 |
Polarity detection |
极性检测 |
Polynomial Basis Function |
多项式基函数 |
Polynomial kernel function |
多项式核函数 |
Pooling |
池化 |
Positive class |
正类 |
Positive definite matrix |
正定矩阵 |
Posterior inference |
后验推断 |
Posterior probability |
后验概率 |
Post-hoc test |
后续检验 |
Post-pruning |
后剪枝 |
potential function |
势函数 |
Power method |
幂方法 |
Precision |
查准率/精确率 [[5]] |
Prepruning |
预剪枝 |
Principal component analysis/PCA |
主成分分析 |
Principle of multiple explanations |
多释原则 |
Prior knowledge |
先验知识 |
Probability Graphical Model |
概率图模型 |
Proximal Gradient Descent/PGD |
近端梯度下降 |
Pruning |
剪枝 |
Pseudo-label |
伪标记 |
Quadratic Programming |
二次规划 |
Quantized Neural Network/QNN |
量子化神经网络 |
Quantum computer |
量子计算机 |
Quantum Computing |
量子计算 |
Quantum machine learning |
量子机器学习 |
Quasi Newton method |
拟牛顿法 |
Quasi-concave |
拟凹 |
Radial Basis Function/RBF |
径向基函数 |
Random Forest Algorithm |
随机森林算法 |
Random walk |
随机漫步 |
Recall |
召回率/查全率 |
Receiver Operating Characteristic/ROC |
受试者工作特征 |
Rectified Linear Unit/ReLU |
线性修正单元 |
Recurrent Neural Network |
循环神经网络 |
Recursive neural network |
递归神经网络 |
Reference model |
参考模型 |
Regression |
回归 |
Regularization |
正则化 |
Regularizer |
正则化项 |
Reinforcement learning/RL |
强化学习 |
Relative entropy |
相对熵 |
Reparametrization |
重参数化 |
Representation learning |
表征学习 |
Representer theorem |
表示定理 |
Reproducing Kernel Hilbert Space/RKHS |
再生核希尔伯特空间 |
Re-sampling |
重采样法 |
Rescaling |
再缩放 |
Reservoir computing |
储层计算 |
Residual Blocks |
残差块 |
Residual Mapping |
残差映射 |
Residual Network |
残差网络 |
Restricted Boltzmann Machine/RBM |
受限玻尔兹曼机 |
Restricted Isometry Property/RIP |
限定等距性 |
Reverse mode accumulation |
反向模式累加 |
Re-weighting |
重赋权法 |
Ridge regression |
岭回归 |
Robustness |
稳健性/鲁棒性 |
Root node |
根结点 |
Rule Engine |
规则引擎 |
Rule learning |
规则学习 |
Saddle point |
鞍点 |
Saddle-free Newton method |
无鞍牛顿法 |
Saliency map |
显著图 |
Sample space |
样本空间 |
Sampling |
采样 |
Score function |
评分函数 |
Second derivative |
二阶导数 |
Second-order method |
二阶方法 |
Self-contrastive estimation |
自对比估计 |
Self-Driving |
自动驾驶 |
Self-Organizing Map/SOM |
自组织映射 |
Semantic hashing |
语义哈希 |
Semantic segmentation |
语义分割 |
Semantic similarity |
语义相似度 |
Semi-Definite Programming |
半正定规划 |
Semi-naive Bayes classifiers |
半朴素贝叶斯分类器 |
Semi-restricted Boltzmann Machine |
半受限波尔兹曼机 |
Semi-Supervised Learning |
半监督学习 |
semi-Supervised Support Vector Machine |
半监督支持向量机 |
Sentiment analysis |
情感分析 |
Separating hyperplane |
分离超平面 |
Shannon entropy |
香农熵 |
Shift invariance |
平移不变性 |
Siamese Network |
孪生网络 |
Similarity measure |
相似度度量 |
Simulated annealing |
模拟退火 |
Simultaneous localization and mapping/SLAM |
同步定位与地图构建 |
Singular value |
奇异值 |
Singular Value Decomposition |
奇异值分解 |
Slack variables |
松弛变量 |
Slowness principle |
慢性原则 |
Smoothing |
平滑 |
Smoothness prior |
平滑先验 |
Soft margin |
软间隔 |
Soft margin maximization |
软间隔最大化 |
Soft voting |
软投票 |
Sparse activation |
稀疏激活 |
Sparse coding |
稀疏编码 |
Sparse connectivity |
稀疏连接 |
Sparse initialization |
稀疏初始化 |
Sparse representation |
稀疏表征 |
Sparsity |
稀疏性 |
Specialization |
特化 |
Spectral Clustering |
谱聚类 |
Spectral radius |
谱半径 |
Speech Recognition |
语音识别 |
Spiking Neural Nets |
脉冲神经网络 |
Splitting variable |
切分变量 |
Squashing function |
挤压函数 |
Stability-plasticity dilemma |
可塑性-稳定性困境 |
Stacked Deconvolutional Network/SDN |
堆叠解卷积网络 |
Standard deviation |
标准差 |
Static game |
静态博弈 |
Stationary distribution |
稳态分布 |
Stationary point |
驻点 |
Statistical learning |
统计学习 |
Status feature function |
状态特征函数 |
Stochastic gradient descent |
随机梯度下降 |
Stochastic Matrix |
随机矩阵 |
Stochastic maximum likelihood |
随机最大似然 |
Stochastic Neighbor Embedding |
随机近邻嵌入 |
Stratified sampling |
分层采样 |
Structural risk |
结构风险 |
Structural risk minimization/SRM |
结构风险最小化 |
Structured variational inference |
结构化变分推断 |
Subsampling |
下采样 |
Subspace |
子空间 |
Supervised learning |
监督学习/有导师学习 |
support vector expansion |
支持向量展式 |
Support Vector Machine/SVM |
支持向量机 |
Surrogat loss |
替代损失 |
Surrogate function |
替代函数 |
Symbolic learning |
符号学习 |
Symbolism |
符号主义 |
Synset |
同义词集 |
Synthetic feature |
合成特征 |
Tangent plane |
切平面 |
Tangent prop |
正切传播 |
T-Distribution Stochastic Neighbour Embedding/t-SNE |
T分布随机近邻嵌入 |
Tempered transition |
回火转移 |
Tensor |
张量 |
Tensor Processing Units/TPU |
张量处理单元 |
The least square method |
最小二乘法 |
Threshold |
阈值 |
Threshold logic unit |
阈值逻辑单元 |
Threshold-moving |
阈值移动 |
Tiled convolution |
平铺卷积 |
Time delay neural network |
时延神经网络 |
Time Step |
时间步骤 |
Tractable |
易处理的 |
Tokenization |
标记化/分词 |
Training error |
训练误差 |
Training instance |
训练实例 |
Transductive learning |
直推学习 |
Transfer learning |
迁移学习/转移学习 |
Treebank |
树库 |
Trial-by-error |
试错法 |
Triangulate |
三角形化 |
Trigram |
三元语法 |
True negative |
真负例 /[5] |
True positive |
真正例 /[5] |
True Positive Rate/TPR |
真正例率 |
Turing Machine |
图灵机 |
Twice-learning |
二次学习 |
Two-dimensional array |
二维数组 |
Underestimation |
欠估计 |
Underfitting |
欠拟合/欠配 |
Undersampling |
欠采样 |
Understandability |
可理解性 |
Undirected graphical model |
无向图模型 |
Unequal cost |
非均等代价 |
Unit norm |
单位范数 |
Unit test |
单元测试 |
Unit variance |
单位方差 |
Unitary matrix |
酉矩阵 |
Unit-step function |
单位阶跃函数 |
Univariate decision tree |
单变量决策树 |
Unprojection |
反投影 |
Unshared convolution |
非共享卷积 |
Unsupervised learning |
无监督学习/无导师学习 |
Unsupervised layer-wise training |
无监督逐层训练 |
Upper Confidence Bounds |
上置信界限 |
Upsampling |
上采样 |
Vanishing Gradient Problem |
梯度消失问题 |
Variational derivative |
变分导数 |
Variational free energy |
变分自由能 |
Variational inference |
变分推断 |
VC Theory |
VC维理论 |
Version space |
版本空间 |
Virtual adversarial example |
虚拟对抗样本 |
Viterbi algorithm |
维特比算法 |
Von Neumann architecture |
冯 · 诺伊曼架构 |
Weak learner |
弱学习器 |
Weight |
权重 |
Weight decaying |
权值衰减 |
Weight sharing |
权共享 |
Weighted voting |
加权投票法 |
Wasserstein GAN/WGAN |
Wasserstein生成对抗网络 |
Within-class scatter matrix |
类内散度矩阵 |
Word embedding |
词嵌入 |
Word sense disambiguation |
词义消歧 |
Zero mean |
零均值 |
Zero-data learning |
零数据学习 |
Zero-shot learning |
零次学习 |