Recent feature selection methods in statistical pattern recognition.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F02%3A16020201" target="_blank" >RIV/67985556:_____/02:16020201 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/03:00018186
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Recent feature selection methods in statistical pattern recognition.
Original language description
The chapter is devoted to the problem of feature selection in statistical pattern recognition. A number of feature subset search strategies is reviewed, analyzed and compared. New algorithms are described (Fast Branch and Bound, Branch and Bound Algorithm with Partial Prediction, Floating Search, Adaptive Floating Search). Two feature selection methods based on approximating the unknown class conditional densities by finite mixtures of the factorized densities are presented.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
BC - Theory and management systems
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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Pattern Recognition and String Matching.
ISBN
1-4020-0953-4
Number of pages of the result
51
Pages from-to
1-51
Number of pages of the book
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Publisher name
Kluwer
Place of publication
Dordrecht
UT code for WoS chapter
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