1

Neural networks and principal component analysis: Learning from examples without local minima

Year:
1989
Language:
english
File:
PDF, 657 KB
english, 1989
2

Deep Learning in Biomedical Data Science

Year:
2018
Language:
english
File:
PDF, 3.23 MB
english, 2018
6

Bayesian surprise attracts human attention

Year:
2009
Language:
english
File:
PDF, 822 KB
english, 2009
10

Bayesian Causality

Year:
2019
Language:
english
File:
PDF, 547 KB
english, 2019
11

Learning in the machine: Random backpropagation and the deep learning channel

Year:
2018
Language:
english
File:
PDF, 1.29 MB
english, 2018
12

Of bits and wows: A Bayesian theory of surprise with applications to attention

Year:
2010
Language:
english
File:
PDF, 1.61 MB
english, 2010
18

Learning to play Go using recursive neural networks

Year:
2008
Language:
english
File:
PDF, 3.16 MB
english, 2008
25

Group actions and learning for a family of automata

Year:
1988
Language:
english
File:
PDF, 837 KB
english, 1988
32

Number of stable points for spin-glasses and neural networks of higher orders

Year:
1987
Language:
english
File:
PDF, 157 KB
english, 1987
34

The dropout learning algorithm

Year:
2014
Language:
english
File:
PDF, 5.41 MB
english, 2014
37

Asymptotic Normality of Some Graph-Related Statistics

Year:
1989
Language:
english
File:
PDF, 552 KB
english, 1989
38

Discovery of Power-Laws in Chemical Space

Year:
2008
Language:
english
File:
PDF, 1.62 MB
english, 2008
43

Graph kernels for chemical informatics

Year:
2005
Language:
english
File:
PDF, 280 KB
english, 2005
47

A theory of local learning, the learning channel, and the optimality of backpropagation

Year:
2016
Language:
english
File:
PDF, 1.08 MB
english, 2016