| 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 |
小批量随机梯度下降 |
| 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 |
| Moral graph |
道德图/端正图 |
| Multi-class classification |
多分类 |
| 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 |