An Introduction to Modern
Statistical Learning
Preface
1
Introduction
I
Representation and Inference
2
Directed Generative models
3
Undirected Generative Models
3.1
The exponential-family harmonium
3.2
Deep belief networks
3.3
The Helmholtz machine
3.4
Recurrent EFHs
3.4.1
The recurrent temporal RBM
3.4.2
The recurrent EFH
3.5
General inference algorithms
II
Learning
Recurrent EFHs
3.4
Recurrent EFHs
3.4.1
The recurrent temporal RBM
3.4.2
The recurrent EFH