Počet záznamů: 1

Introduction to Feature Selection Toolbox 3 – The C++ Library for Subset Search, Data Modeling and Classification

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, ORCID}
Vyd. 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