Information geometry

Information geometry is a branch of mathematics that applies the techniques of differential geometry to the field of probability theory. This is done… (More)
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Measures of divergence between two points play a key role in many engineering problems. One such measure is a distance function… (More)
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Highly Cited
2004
Highly Cited
2004
We aim at an extension of AdaBoost to U-Boost, in the paradigm to build a stronger classification machine from a set of weak… (More)
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2004
2004
  • W. Jankea, D. A. Johnstonb, R. Kennac
  • 2004
The introduction of a metric onto the space of parameters in models in statistical mechanics and beyond gives an alternative… (More)
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2002
2002
In this contribution, we study the problem of prior selection arising in Bayesian inference. There is an extensive literature on… (More)
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Highly Cited
2001
Highly Cited
2001
An exponential family or mixture family of probability distributions has a natural hierarchical structure. This paper gives an… (More)
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2000
2000
A neural network is an information processing system composed of neurons or neuronlike elements. There are two di erent… (More)
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Highly Cited
1999
Highly Cited
1999
An extension of the infomax algorithm of Bell and Sejnowski (1995) is presented that is able blindly to separate mixed signals… (More)
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Highly Cited
1998
Highly Cited
1998
When a parameter space has a certain underlying structure, the ordinary gradient of a function does not represent its steepest… (More)
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Highly Cited
1995
Highly Cited
1995
In order to realize an input-output relation given by noise-contaminated examples, it is e ective to use a stochastic model of… (More)
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Highly Cited
1992
Highly Cited
1992
A Boltzmann machine is a network of stochastic neurons. The set of all the Boltzmann machines with a fixed topology forms a… (More)
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