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Volumn , Issue , 2009, Pages 179-187

Extracting discriminative concepts for domain adaptation in text mining

Author keywords

Domain adaptation; Feature extraction; Text mining

Indexed keywords

CONCEPT SPACE; DOCUMENT CLASSIFICATION; DOMAIN ADAPTATION; FEATURE REPRESENTATION; INFORMATION EXTRACTION; LABELED DATA; LINEAR TRANSFORMATION; MULTIPLE CLASS; PREDICTIVE MODELING; STATISTICAL LEARNING METHODS; TARGET DOMAIN; TEXT MINING; TRAINING DATA; UNDERLYING DISTRIBUTION; UNLABELED DATA;

EID: 70350700674     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1557019.1557045     Document Type: Conference Paper
Times cited : (69)

References (16)
  • 1
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: A geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 12:2399-2434, 2006.
    • (2006) Journal of Machine Learning Research , vol.12 , pp. 2399-2434
    • Belkin, M.1    Niyogi, P.2    Sindhwani, V.3
  • 9
    • 67749108073 scopus 로고    scopus 로고
    • Learning to Classify Text Using Support Vector Machines - Methods, Theory, and Algorithms
    • T. Joachims. Learning to Classify Text Using Support Vector Machines - Methods, Theory, and Algorithms. Kluwer/Springer, 2002.
    • (2002) Kluwer/Springer
    • Joachims, T.1
  • 16
    • 37849026107 scopus 로고    scopus 로고
    • Cross-domain video concept detection using adaptive svms
    • J. Yang, R. Yan, and A. G. Hauptmann. Cross-domain video concept detection using adaptive svms. In ACM Multimedia, pages 188-197, 2007.
    • (2007) ACM Multimedia , pp. 188-197
    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.