Radial Basis Function/RBF |
徑向基函數(shù) |
Random Forest Algorithm |
隨機森林算法 |
Random walk |
隨機漫步 |
Recall |
查全率/召回率 |
Receiver Operating Characteristic/ROC |
受試者工作特征 |
Rectified Linear Unit/ReLU |
線性修正單元 |
Recurrent Neural Network |
循環(huán)神經(jīng)網(wǎng)絡(luò) |
Recursive neural network |
遞歸神經(jīng)網(wǎng)絡(luò) |
Reference model |
參考模型 |
Regression |
回歸 |
Regularization |
正則化 |
Regularizer |
正則化項 |
Reinforcement learning/RL |
強化學(xué)習(xí) |
Relative entropy |
相對熵 |
Reparametrization |
重參數(shù)化 |
Representation learning |
表征學(xué)習(xí) |
Representer theorem |
表示定理 |
Reproducing Kernel Hilbert Space/RKHS |
再生核希爾伯特空間 |
Re-sampling |
重采樣法 |
Rescaling |
再縮放 |
Reservoir computing |
儲層計算 |
Residual Mapping |
殘差映射 |
Residual Network |
殘差網(wǎng)絡(luò) |
Restricted Boltzmann Machine/RBM |
受限玻爾茲曼機 |
Restricted Isometry Property/RIP |
限定等距性 |
Reverse mode accumulation |
反向模式累加 |
Re-weighting |
重賦權(quán)法 |
Ridge regression |
嶺回歸 |
Robustness |
穩(wěn)健性/魯棒性 |
Root node |
根結(jié)點 |
Rule Engine |
規(guī)則引擎 |
Rule learning |
規(guī)則學(xué)習(xí) |