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Volumn 2, Issue , 2007, Pages 123-130

Deterministic annealing for multiple-instance learning

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; DATA SETS; DETERMINISTIC ANNEALING; DETERMINISTIC ANNEALING ALGORITHMS; LOCAL MINIMUMS; MULTIPLE-INSTANCE LEARNING; OBJECTIVE FUNCTIONS; TEST ERRORS;

EID: 84862292319     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (62)

References (13)
  • 2
    • 33947180489 scopus 로고    scopus 로고
    • Miles: Multipleinstance learning via embedded instance selection
    • Yixin Chen, Jinbo Bi, and James Z. Wang. Miles: Multipleinstance learning via embedded instance selection. IEEE Trans. Pattern Anal. Mach. Intell., 28(12), 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , pp. 12
    • Chen, Y.1    Bi, J.2    Wang, J.Z.3
  • 3
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Thomas G. Dietterich, Richard H. Lathrop, and Tomás Lozano-Pérez. Solving the multiple instance problem with axis-parallel rectangles. Artif. Intell., 89(1-2):31-71, 1997.
    • (1997) Artif. Intell. , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Pérez, T.3
  • 5
    • 34547994564 scopus 로고    scopus 로고
    • Multiple instance classification via successive linear programming
    • University of Wisconsin
    • Olvi L.Mangasarian and EdwardW.Wild. Multiple instance classification via successive linear programming. Technical Report 05-02, Data Mining Institute, University of Wisconsin, 2005.
    • (2005) Technical Report 05-02, Data Mining Institute
    • Mangasarian, O.L.1    Wild, E.W.2
  • 6
    • 21844431631 scopus 로고    scopus 로고
    • Machine learning methods for predicting failures in hard drives: A multiple-instance application
    • Joseph F. Murray, Gordon F. Hughes, and Kenneth Kreutz-Delgado. Machine learning methods for predicting failures in hard drives: A multiple-instance application. Journal of Machine Learning Research, 6:783-816, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 783-816
    • Murray, J.F.1    Hughes, G.F.2    Kreutz-Delgado, K.3
  • 7
    • 31844448950 scopus 로고    scopus 로고
    • Supervised versus multiple instance learning: An empirical comparison
    • Soumya Ray and Mark Craven. Supervised versus multiple instance learning: an empirical comparison. In Proc. 22nd International Conf. on Machine Learning, pages 697-704, 2005.
    • (2005) Proc. 22nd International Conf. on Machine Learning , pp. 697-704
    • Ray, S.1    Craven, M.2
  • 8
    • 0032202775 scopus 로고    scopus 로고
    • Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
    • Kenneth Rose. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems. In Proceedings of IEEE, volume 86, pages 2210-2239, 1998.
    • (1998) Proceedings of IEEE , vol.86 , pp. 2210-2239
    • Kenneth, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.