0411033 20240103182257.020060210235959.9 80-248-0229-5 Ostrava VŠB 2003 10 s. 23-32SvátekV. text classification mixture model cav_un_auth*0101171 Novovičová Jana UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101155 Malík Antonín UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. 09K 12B IAA2075302 GA AV ČR cav_un_auth*0001801 KSK1019101 GA AV ČR cav_un_auth*0000219 CEZ:AV0Z1075907 Finite mixture modelling of class-conditional distributions is a standard method in a statistical pattern recognition. We proposed to use the mixture of multinomial distributions as a model for class-conditional distribution for text document classification task. The vector document representations using a bag-of-words or a unigram approach are employed. Experimental comparison of the proposed model and the standard models was performed using Reuters-21578 database. cav_un_auth*0213006 Znalosti 2003 /2./ Ostrava CZ 19.02.2003-21.02.2003 BB RO http://hdl.handle.net/11104/0131120 UTIA-B 20030020 2003 2003 Ostrava VŠB 80-248-0229-5 Znalosti 2003. Sborník příspěvků 2. ročníku konference 23 32 Svátek V. 340