bibtype	C - Conference Paper (international conference)
ARLID	0411075
utime	20240103182259.9
mtime	20060210235959.9
ISBN	3-540-40217-9
title (primary) (eng)	Application of multinomial mixture model to text classification
publisher	place Berlin name Springer pub_time 2003
specification	page_count 8 s.
edition	name Lecture Notes in Computer Science. volume_id 2652
serial	title Pattern Recognition and Image Analysis page_num 646-653 editor name1 Perales name2 F. J. editor name1 Campilho name2 A. J. C.
keyword	text classification
keyword	multinomial mixture model
keyword	Bhattacharyya distance
author (primary)	ARLID cav_un_auth*0101171 name1 Novovičová name2 Jana institution UTIA-B fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0101155 name1 Malík name2 Antonín institution UTIA-B fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI	09K
COSATI	12B
cas_special	project project_id IAA2075302 agency GA AV ČR ARLID cav_un_auth*0001801 project project_id KSK1019101 agency GA AV ČR ARLID cav_un_auth*0000219 research CEZ:AV0Z1075907 abstract (eng) The mixture of multinomial distributions is proposed as a model for class-conditional distributions in document classification task. Experimental results on the Reuters and the Newsgroups data sets indicate the effectiveness of the multinomial mixture model. Furthermore, an increase in classification accuracy is achieved for small training data sets, when multiclass Bhattacharyya distance is used instead of average mutual information as a feature selection criterion. action ARLID cav_un_auth*0213025 name Iberian Conference on Pattern Recognition and Image Analysis. IbPRIA 2003 /1./ place Puerto de Andratx country ES dates 04.06.2003-06.06.2003 RIV BB department RO permalink http://hdl.handle.net/11104/0131162 ID_orig UTIA-B 20030062 arlyear 2003 mrcbU10 2003 mrcbU10 Berlin Springer mrcbU12 3-540-40217-9 mrcbU63 Pattern Recognition and Image Analysis 646 653 mrcbU67 Perales F. J. 340 mrcbU67 Campilho A. J. C. 340