Letter M
索引编号 | 英文术语 | 中文翻译 | 常用缩写 | 来源&扩展 | 备注 |
---|---|---|---|---|---|
AITD-01087 | Machine Learning Model | 机器学习模型 | [1] | ||
AITD-01088 | Machine Learning | 机器学习 | ML | 机器学习 | |
AITD-01089 | Machine Translation | 机器翻译 | MT | ||
AITD-01090 | Macro Average | 宏平均 | [1] | ||
AITD-01091 | Macro-F1 | 宏F1 | [1] | ||
AITD-01092 | Macro-P | 宏查准率 | [1] | ||
AITD-01093 | Macron-R | 宏查全率 | [1] | ||
AITD-01094 | Mahalanobis Distance | 马哈拉诺比斯距离 | [1] | ||
AITD-01095 | Main Diagonal | 主对角线 | [1] | ||
AITD-01096 | Majority Voting | 绝对多数投票 | [1] | ||
AITD-01097 | Majority Voting Rule | 多数表决规则 | [1] | ||
AITD-01098 | Manhattan Distance | 曼哈顿距离 | [1] | ||
AITD-01099 | Manifold | 流形 | [1] | ||
AITD-01100 | Manifold Assumption | 流形假设 | [1] | ||
AITD-01101 | Manifold Learning | 流形学习 | [1] | ||
AITD-01102 | Manifold Tangent Classifier | 流形正切分类器 | [1] | ||
AITD-01103 | Margin | 间隔 | 统计 | ||
AITD-01104 | Margin Theory | 间隔理论 | [1] | ||
AITD-01105 | Marginal Distribution | 边缘分布 | [1] | ||
AITD-01106 | Marginal Independence | 边缘独立性 | [1] | ||
AITD-01107 | Marginal Likelihood | 边缘似然函数 | [1] | ||
AITD-01108 | Marginal Probability Distribution | 边缘概率分布 | [1] | ||
AITD-01109 | Marginalization | 边缘化 | [1] | ||
AITD-01110 | Markov Blanket | 马尔可夫毯 | [1] | ||
AITD-01111 | Markov Chain | 马尔可夫链 | [1] | ||
AITD-01112 | Markov Chain Monte Carlo | 马尔可夫链蒙特卡罗 | MCMC | ||
AITD-01113 | Markov Decision Process | 马尔可夫决策过程 | MDP | [1] | |
AITD-01114 | Markov Network | 马尔可夫网络 | [1] | ||
AITD-01115 | Markov Process | 马尔可夫过程 | [1] | ||
AITD-01116 | Markov Property | 马尔可夫性质 | [1] | ||
AITD-01117 | Markov Random Field | 马尔可夫随机场 | MRF | [1] | |
AITD-01118 | Mask | 掩码 | [1] | ||
AITD-01119 | Mask Language Modeling | 掩码语言模型化 | [1] | ||
AITD-01120 | Masked Self-Attention | 掩蔽自注意力 | [1] | ||
AITD-01121 | Mathematical Optimization | 数学优化 | [1] | ||
AITD-01122 | Matrix | 矩阵 | [1] | ||
AITD-01123 | Matrix Calculus | 矩阵微积分 | [1] | ||
AITD-01124 | Matrix Completion | 矩阵补全 | [1] | ||
AITD-01125 | Matrix Decomposition | 矩阵分解 | [1] | ||
AITD-01126 | Matrix Inversion | 逆矩阵 | [1] | ||
AITD-01127 | Matrix Product | 矩阵乘积 | [1] | ||
AITD-01128 | Max Norm | 最大范数 | [1] | ||
AITD-01129 | Max Pooling | 最大汇聚 | |||
AITD-01130 | Maxima | 极大值 | [1] | ||
AITD-01131 | Maximal Clique | 最大团 | [1] | ||
AITD-01132 | Maximization | 极大 | [1] | ||
AITD-01133 | Maximization Step | M步 | [1] | ||
AITD-01134 | Maximization-Maximization Algorithm | 极大-极大算法 | [1] | ||
AITD-01135 | Maximum A Posteriori | 最大后验 | [1] | ||
AITD-01136 | Maximum A Posteriori Estimation | 最大后验估计 | MAP | [1] | |
AITD-01137 | Maximum Entropy Model | 最大熵模型 | [1] | ||
AITD-01138 | Maximum Likelihood | 极大似然 | [1] | ||
AITD-01139 | Maximum Likelihood Estimation | 极大似然估计 | MLE | ||
AITD-01140 | Maximum Likelihood Method | 极大似然法 | [1] | ||
AITD-01141 | Maximum Margin | 最大间隔 | [1] | ||
AITD-01142 | Maximum Mean Discrepancy | 最大平均偏差 | [1] | ||
AITD-01143 | Maximum Posterior Probability Estimation | 最大后验概率估计 | MAP | [1] | |
AITD-01144 | Maximum Weighted Spanning Tree | 最大带权生成树 | [1] | ||
AITD-01145 | Maxout | Maxout | [1] | ||
AITD-01146 | Maxout Unit | Maxout单元 | [1] | ||
AITD-01147 | Mean | 均值 | [1] | ||
AITD-01148 | Mean Absolute Error | 平均绝对误差 | [1] | ||
AITD-01149 | Mean And Covariance RBM | 均值和协方差RBM | [1] | ||
AITD-01150 | Mean Filed | 平均场 | [1] | ||
AITD-01151 | Mean Filter | 均值滤波 | [1] | ||
AITD-01152 | Mean Pooling | 平均汇聚 | [1] | ||
AITD-01153 | Mean Product of Student t-Distribution | 学生 t 分布均值乘积 | [1] | ||
AITD-01154 | Mean Squared Error | 均方误差 | [1] | ||
AITD-01155 | Mean-Covariance Restricted Boltzmann Machine | 均值-协方差受限玻尔兹曼机 | [1] | ||
AITD-01156 | Mean-Field | 平均场 | [1] | ||
AITD-01157 | Meanfield | 均匀场 | [1] | ||
AITD-01158 | Measure Theory | 测度论 | [1] | ||
AITD-01159 | Measure Zero | 零测度 | [1] | ||
AITD-01160 | Median | 中位数 | [1] | ||
AITD-01161 | Memory | 记忆 | [1] | ||
AITD-01162 | Memory Augmented Neural Network | 记忆增强神经网络 | MANN | [1] | |
AITD-01163 | Memory Capacity | 记忆容量 | [1] | ||
AITD-01164 | Memory Cell | 记忆元 | [1] | ||
AITD-01165 | Memory Network | 记忆网络 | MN | [1] | |
AITD-01166 | Memory Segment | 记忆片段 | [1] | ||
AITD-01167 | Mercer Kernel | Mercer 核 | [1] | ||
AITD-01168 | Message | 消息 | [1] | ||
AITD-01169 | Message Passing | 消息传递 | [1] | ||
AITD-01170 | Message Passing Neural Network | 消息传递神经网络 | MPNN | [1] | |
AITD-01171 | Meta-Learner | 元学习器 | [1] | ||
AITD-01172 | Meta-Learning | 元学习 | |||
AITD-01173 | Meta-Optimization | 元优化 | [1] | ||
AITD-01174 | Meta-Rule | 元规则 | [1] | ||
AITD-01175 | Metric | 指标 | |||
AITD-01176 | Metric Learning | 度量学习 | [1] | ||
AITD-01177 | Micro Average | 微平均 | [1] | ||
AITD-01178 | Micro-F1 | 微F1 | [1] | ||
AITD-01179 | Micro-P | 微査准率 | [1] | ||
AITD-01180 | Micro-R | 微查全率 | [1] | ||
AITD-01181 | Min-Max Normalization | 最小最大值规范化 | [1] | ||
AITD-01182 | Mini-Batch Gradient | 小批量梯度 | [1] | ||
AITD-01183 | Mini-Batch Gradient Descent | 小批量梯度下降法 | [1] | ||
AITD-01184 | Mini-Batch SGD | 小批次随机梯度下降 | [1] | ||
AITD-01185 | Minibatch | 小批量 | [1] | ||
AITD-01186 | Minibatch Stochastic | 小批量随机 | [1] | ||
AITD-01187 | Minima | 极小值 | [1] | ||
AITD-01188 | Minimal Description Length | 最小描述长度 | MDL | [1] | |
AITD-01189 | Minimax Game | 极小极大博弈 | [1] | ||
AITD-01190 | Minimum | 极小点 | [1] | ||
AITD-01191 | Minkowski Distance | 闵可夫斯基距离 | [1] | ||
AITD-01192 | Misclassification Cost | 误分类代价 | [1] | ||
AITD-01193 | Mixing | 混合 | [1] | ||
AITD-01194 | Mixing Time | 混合时间 | [1] | ||
AITD-01195 | Mixture Density Network | 混合密度网络 | [1] | ||
AITD-01196 | Mixture Distribution | 混合分布 | [1] | ||
AITD-01197 | Mixture of Experts | 混合专家模型 | [1] | ||
AITD-01198 | Mixture-of-Gaussian | 高斯混合 | [1] | ||
AITD-01199 | Modality | 模态 | [1] | ||
AITD-01200 | Mode | 峰值 | [1] | ||
AITD-01201 | Model | 模型 | [1] | ||
AITD-01202 | Model Averaging | 模型平均 | [1] | ||
AITD-01203 | Model Collapse | 模型坍塌 | [1] | ||
AITD-01204 | Model Complexity | 模型复杂度 | [1] | ||
AITD-01205 | Model Compression | 模型压缩 | [1] | ||
AITD-01206 | Model Identifiability | 模型可辨识性 | [1] | ||
AITD-01207 | Model Parallelism | 模型并行 | [1] | ||
AITD-01208 | Model Parameter | 模型参数 | [1] | ||
AITD-01209 | Model Predictive Control | 模型预测控制 | MPC | ||
AITD-01210 | Model Selection | 模型选择 | |||
AITD-01211 | Model-Agnostic Meta-Learning | 模型无关的元学习 | MAML | [1] | |
AITD-01212 | Model-Based Learning | 有模型学习 | [1] | ||
AITD-01213 | Model-Based Reinforcement Learning | 基于模型的强化学习 | [1] | ||
AITD-01214 | Model-Free Learning | 免模型学习 | [1] | ||
AITD-01215 | Model-Free Reinforcement Learning | 模型无关的强化学习 | [1] | ||
AITD-01216 | Moment | 矩 | [1] | ||
AITD-01217 | Moment Matching | 矩匹配 | [1] | ||
AITD-01218 | Momentum | 动量 | |||
AITD-01219 | Momentum Method | 动量法 | [1] | ||
AITD-01220 | Monte Carlo | 蒙特卡罗 | [1] | ||
AITD-01221 | Monte Carlo Estimate | 蒙特卡罗估计 | [1] | ||
AITD-01222 | Monte Carlo Integration | 蒙特卡罗积分 | [1] | ||
AITD-01223 | Monte Carlo Method | 蒙特卡罗方法 | [1] | ||
AITD-01224 | Moore's Law | 摩尔定律 | [1] | ||
AITD-01225 | Moore-Penrose Pseudoinverse | Moore-Penrose 伪逆 | [1] | ||
AITD-01226 | Moral Graph | 端正图/道德图 | [1] | ||
AITD-01227 | Moralization | 道德化 | [1] | ||
AITD-01228 | Most General Unifier | 最一般合一置换 | [1] | ||
AITD-01229 | Moving Average | 移动平均 | MA | [1] | |
AITD-01230 | Multi-Armed Bandit Problem | 多臂赌博机问题 | [1] | ||
AITD-01231 | Multi-Class Classification | 多分类 | [1] | ||
AITD-01232 | Multi-Classifier System | 多分类器系统 | [1] | ||
AITD-01233 | Multi-Document Summarization | 多文档摘要 | [1] | ||
AITD-01234 | Multi-Head Attention | 多头注意力 | [1] | ||
AITD-01235 | Multi-Head Self-Attention | 多头自注意力 | [1] | ||
AITD-01236 | Multi-Hop | 多跳 | [1] | ||
AITD-01237 | Multi-Kernel Learning | 多核学习 | [1] | ||
AITD-01238 | Multi-Label Classification | 多标签分类 | [1] | ||
AITD-01239 | Multi-Label Learning | 多标记学习 | [1] | ||
AITD-01240 | Multi-Layer Feedforward Neural Networks | 多层前馈神经网络 | [1] | ||
AITD-01241 | Multi-Layer Perceptron | 多层感知机 | MLP | ||
AITD-01242 | Multi-Nominal Logistic Regression Model | 多项对数几率回归模型 | [1] | ||
AITD-01243 | Multi-Prediction Deep Boltzmann Machine | 多预测深度玻尔兹曼机 | [1] | ||
AITD-01244 | Multi-Response Linear Regression | 多响应线性回归 | MLR | [1] | |
AITD-01245 | Multi-View Learning | 多视图学习 | [1] | ||
AITD-01246 | Multicollinearity | 多重共线性 | [1] | ||
AITD-01247 | Multimodal | 多峰值 | [1] | ||
AITD-01248 | Multimodal Learning | 多模态学习 | [1] | ||
AITD-01249 | Multinomial Distribution | 多项分布 | [1] | ||
AITD-01250 | Multinoulli Distribution | Multinoulli分布 | [1] | ||
AITD-01251 | Multinoulli Output Distribution | Multinoulli输出分布 | [1] | ||
AITD-01252 | Multiple Dimensional Scaling | 多维缩放 | [1] | ||
AITD-01253 | Multiple Linear Regression | 多元线性回归 | MLR | 统计 | |
AITD-01254 | Multitask Learning | 多任务学习 | [1] | ||
AITD-01255 | Multivariate Decision Tree | 多变量决策树 | [1] | ||
AITD-01256 | Multivariate Gaussian Distribution | 多元高斯分布 | [1] | ||
AITD-01257 | Multivariate Normal Distribution | 多元正态分布 | [1] | ||
AITD-01258 | Mutual Information | 互信息 | [1] | ||
AITD-02351 | Machine-Readable Data | 机器可读的数据 | |||
AITD-02352 | Mae | 平均绝对误差 | MAE | ||
AITD-02353 | Mahalanobis Distances | 马氏距离 | 统计 | ||
AITD-02354 | Matrices | 矩阵 | 数学 | ||
AITD-02355 | Matthews Correlation Coefficient | 马修斯相关系数 | MCC | ||
AITD-02356 | Maximum Likelihood Methods | 最大似然法 | 统计 | ||
AITD-02357 | Maximum Likelihood Procedures | 最大似然估计法 | 统计 | ||
AITD-02358 | MCTS Method | 蒙特卡洛树搜索方法 | |||
AITD-02359 | Mean-Squared Error | 均方误差 | 统计、机器学习 | ||
AITD-02360 | Mechanical Sympathy | 机械同感,软硬件协同编程 | |||
AITD-02361 | Merging | 合并 | |||
AITD-02362 | Message Passing Neural Networks | 消息传递神经网络 | MPNNS | ||
AITD-02363 | Microarray Data | 微阵列数据 | |||
AITD-02364 | Mini Batch | 小批次 | |||
AITD-02365 | Mining | 挖掘 | |||
AITD-02366 | Mining Out | 挖掘 | |||
AITD-02367 | Missing Values | 缺失值 | 统计 | ||
AITD-02368 | ML Algorithm | 机器学习算法 | |||
AITD-02369 | ML Modelling | 机器学习建模 | |||
AITD-02370 | ML Potentials | 机器学习势能 | |||
AITD-02371 | ML-Driven | 机器学习驱动的 | |||
AITD-02372 | ML-Driven Optimization | 机器学习驱动的最优化 | |||
AITD-02373 | MLP Neural Model | 多层感知机神经模型 | |||
AITD-02374 | Model Construction | 模型构建 | |||
AITD-02375 | Model Evaluation | 模型评估 | |||
AITD-02376 | Model Performance | 模型性能 | |||
AITD-02377 | Model Statistics | 模型统计 | |||
AITD-02378 | Model Training | 模型训练 | 机器学习 | ||
AITD-02379 | Model Validation | 模型验证 | |||
AITD-02380 | Model-Based Iterative Reconstruction | 基于模型的迭代重建 | MBIR | ||
AITD-02381 | Model-Construction | 模型构建 | |||
AITD-02382 | Modelling Scenario | 建模场景 | |||
AITD-02383 | Molecular Graph Theory | 分子图论 | |||
AITD-02384 | Molecular Modelling | 分子建模 | |||
AITD-02385 | Monte Carlo Tree Search | 蒙特卡洛树搜索 | MCTS | 数学 | |
AITD-02386 | Moore’S Law | 摩尔定律 | 计算机 | ||
AITD-02388 | Multi-Agent Control System | 多智能体控制系统 | |||
AITD-02389 | Multi-Core Desktop Computer | 多核台式计算机 | 计算机 | ||
AITD-02390 | Multi-Dimensional Big Data Analysis | 多维度大数据分析 | |||
AITD-02391 | Multi-Layer Feed-Forward | 多层前馈 | MLFF | ||
AITD-02392 | Multi-Objective Genetic Algorithm | 多目标遗传算法 | MOGA | ||
AITD-02393 | Multi-Objective Optimization | 多目标优化 | 机器学习 | ||
AITD-02394 | Multi-Reaction Synthesis | 多反应合成 | |||
AITD-02395 | Multilayer Perceptron | 多层感知机 | |||
AITD-02396 | Multivariate Regression | 多变量回归 |
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