Structural Poisson Mixtures for Classification of Documents

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F08%3A00317515" target="_blank" >RIV/67985556:_____/08:00317515 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Structural Poisson Mixtures for Classification of Documents
Original language description
Considering the statistical text classification problem we approximate class-conditional probability distributions by structurally modified Poisson mixtures. By introducing the structural model we can use different subsets of input variables to evaluateconditional probabilities of different classes in the Bayes formula. The method is applicable to document vectors of arbitrary dimension without any preprocessing. The structural optimization can be included into the EM algorithm in a statistically correct way.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 19th International Conference on Pattern Recognition
ISBN
978-1-4244-2174-9
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE Press
Place of publication
Los Alamitos
Event location
Tampa
Event date
Dec 7, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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