SVM based adaptive learning method for text classification from positive and unlabeled documents

Author:

Peng Tao,Zuo Wanli,He Fengling

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference29 articles.

1. Bing L, Wee SL, Philip S Yu, Xiaoli L (2002) Partially supervised classification of text documents. The nineteenth international conference on machine learning (ICML), Sydney, Australia, pp 384–397

2. Bing L, Yang D, Xiaoli L, Wee SL, Philip S Yu (2003) Building text classifiers using positive and unlabeled examples. In: Proceedings of the 3rd IEEE international conference on data mining (ICDM 2003), Melbourne, Florida, USA, pp 179–188

3. Carlisle A, Dozier G (2001) An Off-The-Shelf PSO. In: Proceedings of the workshop on particle swarm optimization, Indianapolis, pp 1–6

4. Craven M, DiPasquo D, Freitag D, McCallum A, Mitchell T, Nigam K, Slattery S (1998) Learning to extract symbolic knowledge from the World Wide Web. In: Proceedings of the fifteenth national conference on artificial intellligence (AAAI-98), Madison, USA, pp 509–516

5. De Falco I, Della Cioppa A, Iazzetta A and Tarantino E (2005). An evolutionary approach for automatically extracting intelligible classification rules. Knowl Inf Syst 7(2): 179–201

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