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Volumn 2006, Issue , 2006, Pages 477-484

Large scale semi-supervixed linear SVMs

Author keywords

Global optimization; Support vector machines; Text categorization; Unlabeled data

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER APPLICATIONS; DATA MINING; DATA REDUCTION; GLOBAL OPTIMIZATION; INFORMATION RETRIEVAL; LARGE SCALE SYSTEMS; LINEAR SYSTEMS; PROGRAM INTERPRETERS; SWITCHING SYSTEMS; ALGORITHMS; SUPERVISED LEARNING;

EID: 33750373672     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (191)

References (13)
  • 6
    • 0036454664 scopus 로고    scopus 로고
    • Semi-supervised support vector machines for unlabeled data classification
    • G. Fung and O. Mangasarian, Semi-Supervised Support Vector Machines for Unlabeled Data Classification, Optimization Methods and Software 15, 2001, 29-44.
    • (2001) Optimization Methods and Software , vol.15 , pp. 29-44
    • Fung, G.1    Mangasarian, O.2
  • 7
  • 8
    • 21844461582 scopus 로고    scopus 로고
    • A modified finite newton method for fast solution of large scale linear SVMs
    • S. S. Keerthi and D. DeCoste, A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs, Journal of Machine Learning Research 6:341-361, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 341-361
    • Keerthi, S.S.1    DeCoste, D.2
  • 9
    • 0002259425 scopus 로고
    • A new method for mapping optimization problems onto neural networks
    • C. Peterson and B. Soderberg, A new method for mapping optimization problems onto neural networks, International Journal of Neural Systems, 1(1):3-22, 1989.
    • (1989) International Journal of Neural Systems , vol.1 , Issue.1 , pp. 3-22
    • Peterson, C.1    Soderberg, B.2
  • 12
    • 33750303853 scopus 로고    scopus 로고
    • http://www.cs.uchicago.edu/~vikass/research.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.