메뉴 건너뛰기




Volumn 43, Issue 4, 2007, Pages 902-913

Virtual relevant documents in text categorization with support vector machines

Author keywords

Prior knowledge; Support vectors; Text categorization; Topical representation; Virtual document

Indexed keywords

KNOWLEDGE ACQUISITION; POLYNOMIAL APPROXIMATION; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; VIRTUAL REALITY;

EID: 33947147368     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2006.08.010     Document Type: Article
Times cited : (17)

References (30)
  • 1
    • 33947189767 scopus 로고    scopus 로고
    • Allan, J., Ballesteros, L., Callan, J., Croft, W., & Lu, Z. (1996). Recent experiments with INQUERY. In Proceedings of the fourth text retrieval conference (TREC-4).
  • 2
    • 26944451289 scopus 로고    scopus 로고
    • Balcan, M.-F., & Blum, A. (2005). A PAC-style model for learning from labeled and unlabeled data. In Proceedings of the 18th annual conference on learning theory (COLT'05) (pp. 111-126).
  • 3
    • 0031620208 scopus 로고    scopus 로고
    • Blum, A., & Mitchell, T. (1998). Combining labeled and unlabeled data with co-training. In Proceedings of the 11th annual conference on computational learning theory (COLT-98).
  • 5
    • 0036161034 scopus 로고    scopus 로고
    • Training invariant support vector machines
    • DeCoste D., and Schölkopf B. Training invariant support vector machines. Machine Learning 46 1 (2002) 161-190
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 161-190
    • DeCoste, D.1    Schölkopf, B.2
  • 6
    • 33947111655 scopus 로고    scopus 로고
    • Freund, Y., & Schapire, R. E. (1996). Experiments with a new boosting algorithm. In proceedings of the thirteenth international conference on machine learning (pp. 148-156).
  • 7
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund Y., and Schapire R.E. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences 55 1 (1997) 119-139
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 8
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Springer, Berlin
    • Joachims T. Text categorization with support vector machines: Learning with many relevant features. Proceedings of the European conference on machine learning (1998), Springer, Berlin 137-142
    • (1998) Proceedings of the European conference on machine learning , pp. 137-142
    • Joachims, T.1
  • 9
    • 0242456822 scopus 로고    scopus 로고
    • Joachims, T. (2002). Optimizing search engines using clickthrough data. In Proceedings of the ACM conference on knowledge discovery and data mining (KDD).
  • 10
    • 0036989429 scopus 로고    scopus 로고
    • Kawatani, T. (2002). Topic difference factor extraction between two document sets and its application to text categorization. In International ACM-SIGIR conference on research and development in information retrieval.
  • 11
    • 33947149384 scopus 로고    scopus 로고
    • Kwok, K., & Grunfeld, L. (1997). TREC-5 English and Chinese retrieval experiments using PIRCS. In Proceedings of the fifth text retrieval conference.
  • 12
    • 33947131453 scopus 로고    scopus 로고
    • Lee, K.-S., Kageura, K., & Aizawa, A. (2002). TREC-11 Experiments at NII: The effects of virtual relevant documents in batch filtering. In Proceedings of the eleventh text retrieval conference (TREC 2002).
  • 13
    • 0346955723 scopus 로고    scopus 로고
    • Lee, K.-S., & Kageura, K. (2003). Incorporating virtual relevant documents for learning in text categorization. In Proceedings of international Conference of Asian digital libraries (ICADL 2003) (pp. 62-72).
  • 14
    • 33947134668 scopus 로고    scopus 로고
    • Lewis, D. (1999). Reuters-21578 text categorization test collection distribution 1.0. .
  • 15
    • 33947185530 scopus 로고    scopus 로고
    • Nigam, K., & Ghani, R. (2000). Understanding the behavior of co-training. In Proceedings of the sixth ACM SIGKDD international conference on knowledge discovery and data mining (KDD-2000).
  • 16
    • 33947189375 scopus 로고    scopus 로고
    • Poggio, T., & Vetter, T. (1992). Recognition and structure from one 2D model view: Observations on prototypes, object classes and symmetries. A.I. Memo No. 1347, Artificial Intelligence Laboratory, Massachusetts Institute of Technology.
  • 17
    • 33947163616 scopus 로고    scopus 로고
    • Robertson, S., & Soboroff, I. (2002). The TREC 2002 filtering track report. In Proceedings of the eleventh text retrieval conference.
  • 18
    • 0016572913 scopus 로고
    • A vector space model for information retrieval
    • Salton G., Wong A., and Yang C.S. A vector space model for information retrieval. Communications of the ACM 18 11 (1975) 613-620
    • (1975) Communications of the ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1    Wong, A.2    Yang, C.S.3
  • 19
    • 33947171747 scopus 로고    scopus 로고
    • Sassano, M. (2003). Virtual examples for text classification with support vector machines. In Proceedings of the 2003 conference on Empirical methods in natural language processing (pp. 208-215).
  • 20
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Schapire R.E., and Singer Y. BoosTexter: A boosting-based system for text categorization. Machine Learning 39 2/3 (2000) 135-168
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 22
    • 84902142380 scopus 로고    scopus 로고
    • Incorporating Invariances in Support Vector Learning Machines
    • Proceedings of international conference on artificial neural networks (ICANN'96), Springer, Berlin
    • Schölkopf B., Burges C., and Vapnik V. Incorporating Invariances in Support Vector Learning Machines. Proceedings of international conference on artificial neural networks (ICANN'96). Lecture notes in computer science Vol. 1112 (1996), Springer, Berlin 47-52
    • (1996) Lecture notes in computer science , vol.1112 , pp. 47-52
    • Schölkopf, B.1    Burges, C.2    Vapnik, V.3
  • 24
    • 84956609453 scopus 로고    scopus 로고
    • Schwenk, H., & Bengio, Y. (1997). Adaboosting neural networks: Application to on-line character recognition. In Proceedings of international conference on artificial neural networks (ICANN'97) (pp. 967-972).
  • 25
    • 0030657314 scopus 로고    scopus 로고
    • Singhal, A., Mitra, M., & Buckley, C. (1997). Learning routing queries in a query zone. In Proceedings of the twentieth ACM SIGIR conference on research and development in information retrieval (pp. 21-29).
  • 26
    • 0036080160 scopus 로고    scopus 로고
    • Bagging, boosting and the random subspace method for linear classifiers
    • Skurichina M., and Duin R.P.W. Bagging, boosting and the random subspace method for linear classifiers. Pattern Analysis and Applications 5 2 (2002) 121-135
    • (2002) Pattern Analysis and Applications , vol.5 , Issue.2 , pp. 121-135
    • Skurichina, M.1    Duin, R.P.W.2
  • 30
    • 85024373635 scopus 로고    scopus 로고
    • Yang, Y., & Liu, X. (1999). A re-examination of text categorization methods. In International ACM-SIGIR conference on research and development in information retrieval.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.