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|Title:||Bayesian online classifiers for text classification and filtering||Authors:||Chai, K.M.A.
|Issue Date:||2002||Citation:||Chai, K.M.A.,Ng, H.T.,Chieu, H.L. (2002). Bayesian online classifiers for text classification and filtering. SIGIR Forum (ACM Special Interest Group on Information Retrieval) : 97-104. ScholarBank@NUS Repository.||Abstract:||This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classification systems. Furthermore, the online approach offers the advantage of continuous learning in the batch-adaptive text filtering task.||Source Title:||SIGIR Forum (ACM Special Interest Group on Information Retrieval)||URI:||http://scholarbank.nus.edu.sg/handle/10635/40745||ISSN:||01635840|
|Appears in Collections:||Staff Publications|
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