Machine translation/MT | 机器翻译 | [1] |
Macron-P | 宏查准率 | [1] |
Macron-R | 宏查全率 | [1] |
Main diagonal | 主对角线 | [1] |
Majority voting | 绝对多数投票法 | [1] |
Manifold assumption | 流形假设 | [1] |
Manifold learning | 流形学习 | [1] |
Manifold tangent classifier | 流形正切分类器 | [1] |
Margin theory | 间隔理论 | [1] |
Marginal distribution | 边缘分布 | [1] |
Marginal independence | 边缘独立性 | [1] |
Marginal probability distribution | 边缘概率分布 | [1] |
Marginalization | 边际化 | [1] |
Markov Chain | 马尔可夫链 | [1] |
Markov Chain Monte Carlo/MCMC | 马尔可夫链蒙特卡罗方法 | [1] |
Markov Random Field | 马尔可夫随机场 | [1] |
Matrix inversion | 逆矩阵 | [1] |
Maximal clique | 最大团 | [1] |
Maximum A Posteriori | 最大后验 | [1] |
Maximum Likelihood Estimation/MLE | 极大似然估计/极大似然法 | [1] |
Maximum margin | 最大间隔 | [1] |
Maximum weighted spanning tree | 最大带权生成树 | [1] |
Max-Pooling | 最大池化 | [1] |
Mean product of Student t-distribution | 学生 t 分布均值乘积 | [1] |
Mean squared error | 均方误差 | [1] |
Mean-covariance restricted Boltzmann machine | 均值-协方差受限玻尔兹曼机 | [1] |
Measure theory | 测度论 | [1] |
Meta-learner | 元学习器 | [1] |
Metric learning | 度量学习 | [1] |
Micro-P | 微查准率 | [1] |
Micro-R | 微查全率 | [1] |
Mini-Batch SGD | 小批量随机梯度下降 | [1] |
Minimal Description Length/MDL | 最小描述长度 | [1] |
Minimax game | 极小极大博弈 | [1] |
Misclassification cost | 误分类成本 | [1] |
Mixture density network | 混合密度网络 | [1] |
Mixture of experts | 混合专家 | [1] |
Model predictive control (MPC) | 模型预测控制 | [1] |
Moment matching | 矩匹配 | [1] |
Momentum | 动量 | [1] |
Moral graph | 道德图/端正图 | [1] |
Multi-class classification | 多分类 | [1] |
Multi-document summarization | 多文档摘要 | [1] |
Multi-kernel learning | 多核学习 | [1] |
Multi-layer feedforward neural networks | 多层前馈神经网络 | [1] |
Multilayer Perceptron/MLP | 多层感知器 | [1] |
Multimodal learning | 多模态学习 | [1] |
Multinomial distribution | 多项分布 | [1] |
Multiple Dimensional Scaling | 多维缩放 | [1] |
Multiple linear regression | 多元线性回归 | [1] |
Multi-response Linear Regression/MLR | 多响应线性回归 | [1] |
Multivariate normal distribution | 多维正态分布 | [1] |
Mutual information | 互信息 | [1] |