Neurodynamics and Neuroinformatics Studies

Number of the records: 1

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SYSNO ASEP	0032006
Document Type	M - Monograph Chapter
R&D Document Type	Monograph Chapter
Title	Decision Trees and Forests as EEG Classification Tool
Title	Rozhodovací stromy a lesy jako nástroje pro klasifikaci EEG
Author(s)	Klaschka, Jan (UIVT-O)_{RID, SAI, ORCID}
Source Title	Neurodynamics and Neuroinformatics Studies. - Praha : Ústav informatiky AV ČR, FD ČVUT, 2005 - ISBN 80-903298-3-7
Pages	s. 115-127
Number of pages	13 s.
Language	eng - English
Country	CZ - Czech Republic
Keywords	classification trees ; classification forests ; EEG classification
Subject RIV	BA - General Mathematics
R&D Projects	ME 701 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
Annotation	Classification of EEG spectra focused on detection of somnolence is highly important for, e.g. prevention of traffic accidents, and, at the same time, complicated. Classification trees and forests represent promising method for such data-analytic tasks. In this paper, basic information on these methods is provided, and their virtues and drawbacks from EEG classification point of view are discussed. Practiacal analyses are a matter of further work.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2006

Number of the records: 1