Original title: Noisy-or classifier
Authors: Vomlel, Jiří
Document type: Papers
Conference/Event: WUPES 2003. Workshop on Uncertainty Processing /6./, Hejnice (CZ), 2003-09-24 / 2003-09-27
Year: 2003
Language: eng
Abstract: We discuss application of the noisy-or model to classification with large number of attributes. An example of such a task is categorization of text documents, where attributes are single words from the documents.
Keywords: artificial intelligence; Bayesian networks; classification
Project no.: CEZ:AV0Z1075907 (CEP), GA201/01/1482 (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of the 6th Workshop on Uncertainty Processing

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0131281

Permalink: http://www.nusl.cz/ntk/nusl-35008


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers