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Volumn , Issue , 2007, Pages 425-432

Multiple instance learning for computer aided diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; CAD APPLICATIONS; CONVEX HULL; DATA SETS; EXPERIMENTAL STUDIES; GLOBAL OPTIMAL SOLUTIONS; MULTIPLE INSTANCES; MULTIPLE-INSTANCE LEARNING; TRAINING DATA; UNBALANCED DATA;

EID: 84864047275     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (91)

References (18)
  • 1
    • 34547994564 scopus 로고    scopus 로고
    • Multiple instance classification via successive linear programming
    • Univ of Wisconsin, Madison
    • O. L. Mangasarian and E. W. Wild. Multiple instance classification via successive linear programming. Technical Report 05-02, Data Mining Institute, Univ of Wisconsin, Madison, 2005.
    • (2005) Technical Report 05-02, Data Mining Institute
    • Mangasarian, O.L.1    Wild, E.W.2
  • 3
    • 0001777975 scopus 로고    scopus 로고
    • Generalized support vector machines
    • A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Cambridge, MA. MIT Press
    • O. L. Mangasarian. Generalized support vector machines. In A. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 135-146, Cambridge, MA, 2000. MIT Press. ftp://ftp.cs.wisc.edu/math-prog/tech-reports/98-14.ps.
    • (2000) Advances in Large Margin Classifiers , pp. 135-146
    • Mangasarian, O.L.1
  • 4
    • 0000068822 scopus 로고    scopus 로고
    • A mathematical programming approach to the kernel fisher algorithm
    • Sebastian Mika, Gunnar Rätsch, and Klaus-Robert Müller. A mathematical programming approach to the kernel fisher algorithm. In NIPS, pages 591-597, 2000.
    • (2000) NIPS , pp. 591-597
    • Mika, S.1    Rätsch, G.2    Müller, K.-R.3
  • 5
    • 11144352445 scopus 로고    scopus 로고
    • Convergence of alternating optimization
    • J. Bezdek and R. Hathaway. Convergence of alternating optimization. Neural, Parallel Sci. Comput., 11(4):351-368, 2003.
    • (2003) Neural, Parallel Sci. Comput. , vol.11 , Issue.4 , pp. 351-368
    • Bezdek, J.1    Hathaway, R.2
  • 7
    • 0041414854 scopus 로고    scopus 로고
    • RSVM: Reduced support vector machines
    • Technical Report 00-07, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July, Chicago, April 5-7, CD-ROM Proceedings
    • Y.-J. Lee and O. L. Mangasarian. RSVM: Reduced support vector machines. Technical Report 00-07, Data Mining Institute, Computer Sciences Department, University of Wisconsin, Madison, Wisconsin, July 2000. Proceedings of the First SIAM International Conference on Data Mining, Chicago, April 5-7, 2001, CD-ROM Proceedings. ftp://ftp.cs.wisc.edu/pub/dmi/tech-reports/00-07.ps.
    • (2000) Proceedings of the First SIAM International Conference on Data Mining
    • Lee, Y.-J.1    Mangasarian, O.L.2
  • 9
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Thomas G. Dietterich, Richard H. Lathrop, and Tomas Lozano-Perez. Solving the multiple instance problem with axis-parallel rectangles. Artificial Intelligence, 89(1-2):31-71, 1997.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 15
    • 84898946229 scopus 로고    scopus 로고
    • Support vector machines for multiple-instance learning
    • S. Thrun S. Becker and K. Obermayer, editors. MIT Press, Cambridge, MA
    • S. Andrews, I. Tsochantaridis, and T. Hofmann. Support vector machines for multiple-instance learning. In S. Thrun S. Becker and K. Obermayer, editors, Advances in Neural Information Processing Systems 15, pages 561-568. MIT Press, Cambridge, MA, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 561-568
    • Andrews, S.1    Tsochantaridis, I.2    Hofmann, T.3
  • 16
    • 84898935332 scopus 로고    scopus 로고
    • A framework for multiple-instance learning
    • Michael I. Jordan, Michael J. Kearns, and Sara A. Solla, editors. The MIT Press
    • Oded Maron and Tomás Lozano-Pérez. A framework for multiple-instance learning. In Michael I. Jordan, Michael J. Kearns, and Sara A. Solla, editors, Advances in Neural Information Processing Systems, volume 10. The MIT Press, 1998.
    • (1998) Advances in Neural Information Processing Systems , vol.10
    • Maron, O.1    Lozano-Pérez, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.