标签 - machine learning

10-25

Principal Component Analysis

07-08

Maximum Mean Discrepancy

06-21

Langevin Dynamics

06-19

神经网络的Lipschitz连续性

04-30

Reproducing Kernel Hilbert Space

04-26

Moment Matching

03-21

Monte-Carlo Sampling

03-05

Variational Inference

03-02

子空间的距离

01-03

Support Vector Machine

11-01

[模式分类]非参数方法

10-02

[模式分类]贝叶斯决策论

05-04

[PRML]2.Probability Distributions

04-25

Calculus of Variations

04-23

[PRML]1.Introduction

09-06

Score Function Estimator and Reparameterization Trick

09-04

k-means算法及其推广

08-23

EM Algorithm

07-25

各种函数的hard与soft形式

06-28

Inductive Biases for Deep Learning of Higher-Level Cognition