2

Backpropagation and stochastic gradient descent method

Year:
1993
Language:
english
File:
PDF, 597 KB
english, 1993
4

Stability Analysis of Learning Algorithms for Blind Source Separation

Year:
1997
Language:
english
File:
PDF, 226 KB
english, 1997
6

Natural Gradient Works Efficiently in Learning

Year:
1998
Language:
english
File:
PDF, 155 KB
english, 1998
7

Differential Geometry of Curved Exponential Families-Curvatures and Information Loss

Year:
1982
Language:
english
File:
PDF, 2.22 MB
english, 1982
9

Statistical inference: learning in artificial neural networks

Year:
1998
Language:
english
File:
PDF, 238 KB
english, 1998
10

Stochastic Reasoning, Free Energy, and Information Geometry

Year:
2004
Language:
english
File:
PDF, 207 KB
english, 2004
11

Information geometry of the EM and em algorithms for neural networks

Year:
1995
Language:
english
File:
PDF, 2.30 MB
english, 1995
13

A method of statistical neurodynamics

Year:
1974
Language:
english
File:
PDF, 1.05 MB
english, 1974
16

Statistical neurodynamics of associative memory

Year:
1988
Language:
english
File:
PDF, 854 KB
english, 1988
21

Field theory of self-organizing neural nets

Year:
1983
Language:
english
File:
PDF, 1.82 MB
english, 1983
22

Information Geometry of Estimating Functions in Semi-Parametric Statistical Models

Year:
1997
Language:
english
File:
PDF, 2.07 MB
english, 1997
24

Topographic organization of nerve fields

Year:
1980
Language:
english
File:
PDF, 1.02 MB
english, 1980
25

Statistical analysis of learning dynamics

Year:
1999
Language:
english
File:
PDF, 580 KB
english, 1999
26

Data compression and statistical inference

Year:
1987
Language:
english
File:
PDF, 614 KB
english, 1987
27

Four Types of Learning Curves

Year:
1992
Language:
english
File:
PDF, 597 KB
english, 1992
28

Integration of Stochastic Models by Minimizing α -Divergence

Year:
2007
Language:
english
File:
PDF, 107 KB
english, 2007
31

Topographic organization of nerve fields

Year:
1979
Language:
english
File:
PDF, 136 KB
english, 1979
33

Geometrical methods in neural networks and learning

Year:
2005
Language:
english
File:
PDF, 161 KB
english, 2005
34

Dynamics and Computation of Continuous Attractors

Year:
2008
Language:
english
File:
PDF, 926 KB
english, 2008
35

Blind source separation-semiparametric statistical approach

Year:
1997
Language:
english
File:
PDF, 368 KB
english, 1997
36

VARIANTS OF THE KULLBACK-LEIBLER DIVERGENCE AND THEIR ROLE IN MODEL SELECTION

Year:
2006
Language:
english
File:
PDF, 2.87 MB
english, 2006
39

Maximum Likelihood Source Separation: Equivariance and Adaptivity

Year:
1997
Language:
english
File:
PDF, 1.58 MB
english, 1997
40

Unified stabilization approach to principal and minor components extraction algorithms

Year:
2001
Language:
english
File:
PDF, 223 KB
english, 2001
41

Singularities Affect Dynamics of Learning in Neuromanifolds

Year:
2006
Language:
english
File:
PDF, 646 KB
english, 2006
44

Information-Geometric Measure for Neural Spikes

Year:
2002
Language:
english
File:
PDF, 804 KB
english, 2002
45

Dreaming of mathematical neuroscience for half a century

Year:
2013
Language:
english
File:
PDF, 293 KB
english, 2013
49

[Applied Mathematical Sciences] Information Geometry and Its Applications Volume 194 ||

Year:
2016
Language:
english
File:
PDF, 6.14 MB
english, 2016
50

Dualistic theory of non-Riemannian material manifolds

Year:
1981
Language:
english
File:
PDF, 706 KB
english, 1981