Incorporating prior knowledge into learning by dividing training data
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science,Theoretical Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s11704-009-0013-7.pdf
Reference26 articles.
1. Liu B, Li X L, Lee WS, Yu P S. Text classification by labeling words. AAAI, 2004
2. Wu X Y, Srihari R. Incorporating prior knowledge with weighted margin support vector machines. In: Proceedings of International Conference on Knowledge Discovery and Data Mining, 2004, 326–333
3. Schapire R E, Rochery M, Rabim M, Gupta N. Boosting with prior knowledge for call classification. IEEE Transactions on Speech and Audio Processing, 2005, 13, 174–181
4. Zhu J B, Chen W L. Improving text categorization using domain knowledge In: Proceedings of International Conference on Applications of Natural Language to Information Systems, 2005, 103–113
5. Dayanik A, Lewis D D, Madigan D, Menkov V, Genkin A. Constructing informative prior distributions from domain knowledge in text classification. In: Proceedings of ACM’s Special Interest Group on Information Retrieval, 2006
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