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Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification
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SYSNO ASEP 0357271 Druh ASEP V - Výzkumná zpráva Zařazení RIV Záznam nebyl označen do RIV Název Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification Tvůrce(i) Somol, Petr (UTIA-B) RID
Vácha, Pavel (UTIA-B) RID
Mikeš, Stanislav (UTIA-B) RID
Hora, Jan (UTIA-B)
Pudil, Pavel (UTIA-B) RID
Žid, Pavel (UTIA-B) RID, ORCIDVyd. údaje Praha: ÚTIA, 2010 Edice Research Report Č. sv. edice 2287 Poč.str. 13 s. Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova feature selection ; software library ; subset search ; attribute selection ; variable selection ; optimization ; machine learning ; classification ; pattern recognition Vědní obor RIV BD - Teorie informace CEP 1M0572 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z10750506 - UTIA-B (2005-2011) Anotace We introduce a new standalone widely applicable software library for feature selection (also known as attribute or variable selection), capable of reducing problem dimensionality to maximize the accuracy of data models, performance of automatic decision rules as well as to reduce data acquisition cost. The library can be exploited by users in research as well as in industry. Less experienced users can experiment with different provided methods and their application to real-life problems, experts can implement their own criteria or search schemes taking advantage of the toolbox framework. In this paper we first provide a concise survey of a variety of existing feature selection approaches. Then we focus on a selected group of methods of good general performance as well as on tools surpassing the limits of existing libraries. We build a feature selection framework around them and design an object-based generic software library. We describe the key design points and properties of the library. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2011
Počet záznamů: 1