메뉴 건너뛰기




Volumn , Issue , 2010, Pages 791-800

A large-scale active learning system for topical categorization on the web

Author keywords

active learning; classification with imbalanced datasets; svms; web scale performance evaluation

Indexed keywords

ACTIVE LEARNING; ACTIVE LEARNING SYSTEMS; CATEGORIZATION SYSTEMS; CLASSIFICATION SYSTEM; DATA SETS; END-TO-END SYSTEMS; MACHINE LEARNING ALGORITHMS; MATCHING SYSTEM; PERFORMANCE EVALUATION; REAL-WORLD; TRAINING SAMPLE; VERTICAL SEARCH ENGINE; WEB APPLICATION;

EID: 77954635318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772771     Document Type: Conference Paper
Times cited : (10)

References (30)
  • 2
  • 5
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2:121-167, 1998. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 9
    • 0002345034 scopus 로고
    • The comparison and evaluation of forecasters
    • M. DeGroot and S. Fienberg. The comparison and evaluation of forecasters. The Statistician, 32:12-22, 1983.
    • (1983) The Statistician , vol.32 , pp. 12-22
    • DeGroot, M.1    Fienberg, S.2
  • 14
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims. Text categorization with support vector machines: learning with many relevant features. In Proc. of 10th European Conference on Machine Learning, pages 137-142, 1998.
    • (1998) Proc. of 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 17
    • 0031998121 scopus 로고    scopus 로고
    • Machine learning for the detection of oil spills in satellite radar images
    • M. Kubat, R. C. Holte, and S. Matwin. Machine learning for the detection of oil spills in satellite radar images. Mach. Learn., 30(2-3):195-215, 1998.
    • (1998) Mach. Learn. , vol.30 , Issue.2-3 , pp. 195-215
    • Kubat, M.1    Holte, R.C.2    Matwin, S.3
  • 18
    • 64149115569 scopus 로고    scopus 로고
    • Sparse online learning via truncated gradient
    • J. Langford, L. Li, and T. Zhang. Sparse online learning via truncated gradient. J. Mach. Learn. Res., 10:777-801, 2009.
    • (2009) J. Mach. Learn. Res. , vol.10 , pp. 777-801
    • Langford, J.1    Li, L.2    Zhang, T.3
  • 27
    • 0042868698 scopus 로고    scopus 로고
    • Support vector machine active learning with applications to text classification
    • S. Tong and D. Koller. Support vector machine active learning with applications to text classification. J. Mach. Learn. Res., 2:45-66, 2002.
    • (2002) J. Mach. Learn. Res. , vol.2 , pp. 45-66
    • Tong, S.1    Koller, D.2
  • 29
    • 0141453538 scopus 로고    scopus 로고
    • On predicting rare classes with svm ensembles in scene classification
    • R. Yan, Y. Liu, R. Jin, and A. Hauptmann. On predicting rare classes with svm ensembles in scene classification. In In ICASSP, pages 21-24, 2003.
    • (2003) ICASSP , pp. 21-24
    • Yan, R.1    Liu, Y.2    Jin, R.3    Hauptmann, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.