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Volumn 5342 LNCS, Issue , 2008, Pages 724-733

Learning curves for the analysis of multiple instance classifiers

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; DATABASE SYSTEMS; MUSKEG; PATTERN RECOGNITION; STANDARDS; SURFACE PLASMON RESONANCE; SYNTACTICS; TECHNICAL PRESENTATIONS; VECTORS;

EID: 58349091496     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89689-0_76     Document Type: Conference Paper
Times cited : (19)

References (20)
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    • Bradley, A.P.: The use of the area, under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition 30(7), 1145-1159 (1997)
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    • Bradley, A.P.1
  • 5
    • 84897965802 scopus 로고    scopus 로고
    • Cortes, C., Mohri, M.: AUC optimization vs. error rate minimization. In: Advances in Neural Information Processing Systems (NIPS 2003) (2004)
    • Cortes, C., Mohri, M.: AUC optimization vs. error rate minimization. In: Advances in Neural Information Processing Systems (NIPS 2003) (2004)
  • 6
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • Dietterich, T.G., Lathrop, R.H., Lozano-Perez, T.: 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
  • 7
    • 58349120994 scopus 로고    scopus 로고
    • Duin, P, Juszcak, R.P.W, Paclik, P, Pekalska, E, de Ridder, D, Tax, D.M.J, Prtools, a Matlab toolbox for pattern recognition, version 4.0 January 2004
    • Duin, P., Juszcak, R.P.W., Paclik, P., Pekalska, E., de Ridder, D., Tax, D.M.J.: Prtools, a Matlab toolbox for pattern recognition, version 4.0 (January 2004)
  • 8
    • 0017017305 scopus 로고
    • On the choice of the smoothing parameters for Parzen estimators of probability density functions
    • Duin, R.P.W.: On the choice of the smoothing parameters for Parzen estimators of probability density functions. IEEE Transactions on Computers C-25(11), 1175-1179 (1976)
    • (1976) IEEE Transactions on Computers , vol.C-25 , Issue.11 , pp. 1175-1179
    • Duin, R.P.W.1
  • 9
    • 58349112496 scopus 로고    scopus 로고
    • A generalized discriminative multiple instance learning for multimedia semantic concept detection
    • Gao, S., Sun, Q.: A generalized discriminative multiple instance learning for multimedia semantic concept detection. In: ICIP 2006, pp. 2901-2904 (2006)
    • (2006) ICIP 2006 , pp. 2901-2904
    • Gao, S.1    Sun, Q.2
  • 15
    • 14344255185 scopus 로고    scopus 로고
    • Model selection via the AUC In
    • Rosset, S.: Model selection via the AUC In: ICML 2004, pp. 703-710 (2004)
    • (2004) ICML 2004 , pp. 703-710
    • Rosset, S.1
  • 16
    • 0141596676 scopus 로고    scopus 로고
    • Solving the multiple-instance problem: A lazy learning approach
    • Morgan Kaufmann, San Francisco
    • Wang, J., Zucker, J.D.: Solving the multiple-instance problem: A lazy learning approach. In: Proc. 17th International Conf. on Machine Learning, pp. 1119-1125. Morgan Kaufmann, San Francisco (2000)
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 1119-1125
    • Wang, J.1    Zucker, J.D.2
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    • Zhang, M.-L, Matlab toolbox: Mil learners and their ensemble versions
    • Zhang, M.-L.: Matlab toolbox: Mil learners and their ensemble versions
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    • Zhou, Z.-H., Zhang, M.-L.: Ensembles of multi-instance learners. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) ECML 2003. LNCS, 2837, pp. 492-502. Springer, Heidelberg (2003)
    • Zhou, Z.-H., Zhang, M.-L.: Ensembles of multi-instance learners. In: Lavrač, N., Gamberger, D., Todorovski, L., Blockeel, H. (eds.) ECML 2003. LNCS, vol. 2837, pp. 492-502. Springer, Heidelberg (2003)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.