Recognition of Properties by Probabilistic Neural Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00329489" target="_blank" >RIV/67985556:_____/09:00329489 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Recognition of Properties by Probabilistic Neural Networks

Original language description

The statistical pattern recognition based on Bayes formula implies the concept of mutually exclusive classes. This assumption is not applicable when we have to identify some non-exclusive properties and therefore it is unnatural in biological neural networks. Considering the framework of probabilistic neural networks we propose statistical identification of non-exclusive properties by using one-class classifiers.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Artificial Neural Networks - ICANN 2009

ISBN

3-642-04276-7

ISSN

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e-ISSN

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Number of pages

10

Pages from-to

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Publisher name

Springer Verlag

Place of publication

Berlin, Heidelberg

Event location

Limassol

Event date

Sep 14, 2009

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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