Radial Basis Function/RBF | 径向基函数 | [1] |
Random Forest Algorithm | 随机森林算法 | [1] |
Random walk | 随机漫步 | [1] |
Recall | 查全率/召回率 | [1] |
Receiver Operating Characteristic/ROC | 受试者工作特征 | [1] |
Rectified Linear Unit/ReLU | 线性修正单元 | [1] |
Recurrent Neural Network | 循环神经网络 | [1] |
Recursive neural network | 递归神经网络 | [1] |
Reference model | 参考模型 | [1] |
Regression | 回归 | [1] |
Regularization | 正则化 | [1] |
Regularizer | 正则化项 | [1] |
Reinforcement learning/RL | 强化学习 | [1] |
Relative entropy | 相对熵 | [1] |
Reparametrization | 重参数化 | [1] |
Representation learning | 表征学习 | [1] |
Representer theorem | 表示定理 | [1] |
Reproducing Kernel Hilbert Space/RKHS | 再生核希尔伯特空间 | [1] |
Re-sampling | 重采样法 | [1] |
Rescaling | 再缩放 | [1] |
Reservoir computing | 储层计算 | [1] |
Residual Mapping | 残差映射 | [1] |
Residual Network | 残差网络 | [1] |
Restricted Boltzmann Machine/RBM | 受限玻尔兹曼机 | [1] |
Restricted Isometry Property/RIP | 限定等距性 | [1] |
Reverse mode accumulation | 反向模式累加 | [1] |
Re-weighting | 重赋权法 | [1] |
Ridge regression | 岭回归 | [1] |
Robustness | 稳健性/鲁棒性 | [1] |
Root node | 根结点 | [1] |
Rule Engine | 规则引擎 | [1] |
Rule learning | 规则学习 | [1] |