# Information geometry

## Papers overview

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Highly Cited

2010

Highly Cited

2010

- 2010

Measures of divergence between two points play a key role in many engineering problems. One such measure is a distance functionâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- Neural Computation
- 2004

We aim at an extension of AdaBoost to U-Boost, in the paradigm to build a stronger classification machine from a set of weakâ€¦Â (More)

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2004

2004

- 2004

The introduction of a metric onto the space of parameters in models in statistical mechanics and beyond gives an alternativeâ€¦Â (More)

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2002

2002

- 2002

In this contribution, we study the problem of prior selection arising in Bayesian inference. There is an extensive literature onâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- IEEE Trans. Information Theory
- 2001

An exponential family or mixture family of probability distributions has a natural hierarchical structure. This paper gives anâ€¦Â (More)

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2000

2000

- PRICAI
- 2000

A neural network is an information processing system composed of neurons or neuronlike elements. There are two di erentâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Neural Computation
- 1999

An extension of the infomax algorithm of Bell and Sejnowski (1995) is presented that is able blindly to separate mixed signalsâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Neural Computation
- 1998

When a parameter space has a certain underlying structure, the ordinary gradient of a function does not represent its steepestâ€¦Â (More)

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Highly Cited

1995

Highly Cited

1995

- Neural Networks
- 1995

In order to realize an input-output relation given by noise-contaminated examples, it is e ective to use a stochastic model ofâ€¦Â (More)

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Highly Cited

1992

Highly Cited

1992

- IEEE Trans. Neural Networks
- 1992

A Boltzmann machine is a network of stochastic neurons. The set of all the Boltzmann machines with a fixed topology forms aâ€¦Â (More)

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