Recent Featur Selection Methods in Statistical Pattern Recognition

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F02%3A06084484" target="_blank" >RIV/68407700:21260/02:06084484 - isvavai.cz</a>
Výsledek na webu
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Jazyk výsledku
angličtina
Název v původním jazyce
Recent Featur Selection Methods in Statistical Pattern Recognition
Popis výsledku v původním jazyce
The chapter is devoted to the problem of featur selection in statistical pattern recognition. A number of feature subset search strategiers has been reviewed, analyzed and compared. The new algorithms have been 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 densities of a special type have been developedand successfully employed.
Název v anglickém jazyce
Recent Featur Selection Methods in Statistical Pattern Recognition
Popis výsledku anglicky
The chapter is devoted to the problem of featur selection in statistical pattern recognition. A number of feature subset search strategiers has been reviewed, analyzed and compared. The new algorithms have been 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 densities of a special type have been developedand successfully employed.

Rok uplatnění
2002
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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