Advances in statistical feature selection.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F01%3A16010128" target="_blank" >RIV/67985556:_____/01:16010128 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/01:00000048
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Advances in statistical feature selection.
Original language description
Advances in feature selection methododology for statistical pattern recognition are presented and overviewed in the taxonomical framewrok. The methods discussed include latest variants of the Branch and Bound algorithm, enhanced Floating Search techniques and the simultaneous semiparametric pdf modelling and feature space selection method.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Pattern Recognition - ICAPR 2001. Proceedings.
ISBN
3-540-41767-2
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
425-434
Publisher name
Springer
Place of publication
Heidelberg
Event location
Rio de Janeiro [BR]
Event date
Mar 11, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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