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