Recognition and geometrical on-line learning algorithm of probability distributions

Research output: Contribution to conferencePaperpeer-review

Abstract

An on-line learning algorithm for probability distributions is constructed in a reparameterization invariant form. It enables us to identify the distributions which transform from one to another by reparameterization. This is an essential property not only for pattern recognition problems but also for the property of `information'. We can find the algorithm to be optimal, since conformal gauge reduces the problem to a non-covariant case.

Original languageEnglish
Pages175-180
Number of pages6
DOIs
Publication statusPublished - 2000
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy
Duration: Jul 24 2000Jul 27 2000

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'2000)
CityComo, Italy
Period7/24/007/27/00

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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