Bayesian learning of neural networks adapted to changes of prior probabilities

Yoshifusa Ito; Cidambi Srinivasan; Hiroyuki Izumi

Bayesian learning of neural networks adapted to changes of prior probabilities

Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi

Dr. Bing Zhang Department of Statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

We treat Bayesian neural networks adapted to changes in the ratio of prior probabilities of the categries. If an ordinary Bayesian neural network is equipped with m - 1 additional input units, it can learn simultaneously m distinct discriminant functions which correspond to the m different ratios of the prior probabilities.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	252-259
Number of pages	8
State	Published - 2005
Event	15th International Conference on Artificial Neural Networks: Biological Inspirations - ICANN 2005 - Warsaw, Poland Duration: Sep 11 2005 → Sep 15 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3697 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Artificial Neural Networks: Biological Inspirations - ICANN 2005
Country/Territory	Poland
City	Warsaw
Period	9/11/05 → 9/15/05

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

Ito, Y., Srinivasan, C., & Izumi, H. (2005). Bayesian learning of neural networks adapted to changes of prior probabilities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 252-259). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3697 LNCS).

Ito, Yoshifusa ; Srinivasan, Cidambi ; Izumi, Hiroyuki. / Bayesian learning of neural networks adapted to changes of prior probabilities. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. pp. 252-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Bayesian learning of neural networks adapted to changes of prior probabilities",

abstract = "We treat Bayesian neural networks adapted to changes in the ratio of prior probabilities of the categries. If an ordinary Bayesian neural network is equipped with m - 1 additional input units, it can learn simultaneously m distinct discriminant functions which correspond to the m different ratios of the prior probabilities.",

author = "Yoshifusa Ito and Cidambi Srinivasan and Hiroyuki Izumi",

year = "2005",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

note = "15th International Conference on Artificial Neural Networks: Biological Inspirations - ICANN 2005 ; Conference date: 11-09-2005 Through 15-09-2005",

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Ito, Y, Srinivasan, C & Izumi, H 2005, Bayesian learning of neural networks adapted to changes of prior probabilities. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3697 LNCS, pp. 252-259, 15th International Conference on Artificial Neural Networks: Biological Inspirations - ICANN 2005, Warsaw, Poland, 9/11/05.

Bayesian learning of neural networks adapted to changes of prior probabilities. / Ito, Yoshifusa; Srinivasan, Cidambi; Izumi, Hiroyuki.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 252-259 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3697 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Ito Y, Srinivasan C, Izumi H. Bayesian learning of neural networks adapted to changes of prior probabilities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2005. p. 252-259. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bayesian learning of neural networks adapted to changes of prior probabilities

Abstract

Publication series

Conference

ASJC Scopus subject areas

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