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Volumn 6077 LNAI, Issue PART 2, 2010, Pages 35-44

Reducing dimensionality in multiple instance learning with a filter method

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENCE FUNCTIONS; FEATURE SELECTION ALGORITHM; FILTER METHOD; LEARNING FRAMEWORKS; LEARNING PARADIGMS; MULTIPLE INSTANCE LEARNING; PREDICTIVE ACCURACY; REDUCED DATA; SPECIFIC INFORMATION;

EID: 77954587628     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13803-4_5     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • Dietterich, T.G., Lathrop, R.H., Lozano-Perez, T.: Solving the multiple instance problem with axis-parallel rectangles. Artifical Intelligence 89(1-2), 31-71 (1997)
    • (1997) Artifical Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 2
    • 1642357513 scopus 로고    scopus 로고
    • Improve multi-instance neural networks through feature selection
    • Zhang, M.L., Zhou, Z.H.: Improve multi-instance neural networks through feature selection. Neural Processing Letter 19(1), 1-10 (2004)
    • (2004) Neural Processing Letter , vol.19 , Issue.1 , pp. 1-10
    • Zhang, M.L.1    Zhou, Z.H.2
  • 7
    • 84992726552 scopus 로고
    • Estimating attributes: Analysis and extension of relief
    • Bergadano, F., De Raedt, L. (eds.) ECML 1994. Springer, Heidelberg
    • Kononenko, I.: Estimating attributes: analysis and extension of relief. In: Bergadano, F., De Raedt, L. (eds.) ECML 1994. LNCS, vol. 784, pp. 171-182. Springer, Heidelberg (1994)
    • (1994) LNCS , vol.784 , pp. 171-182
    • Kononenko, I.1
  • 8
    • 84949443498 scopus 로고    scopus 로고
    • Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem
    • Stroulia, E., Matwin, S. (eds.) Canadian AI 2001. Springer, Heidelberg
    • Chevaleyre, Y.Z., Zucker, J.D.: Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem. In: Stroulia, E., Matwin, S. (eds.) Canadian AI 2001. LNCS (LNAI), vol. 2056, pp. 204-214. Springer, Heidelberg (2001)
    • (2001) LNCS (LNAI) , vol.2056 , pp. 204-214
    • Chevaleyre, Y.Z.1    Zucker, J.D.2
  • 10
    • 68149124491 scopus 로고    scopus 로고
    • Multi-instance clustering with applications to multi-instance prediction
    • Zhang, M.L., Zhou, Z.H.: Multi-instance clustering with applications to multi-instance prediction. Applied Intelligence 31, 47-68 (2009)
    • (2009) Applied Intelligence , vol.31 , pp. 47-68
    • Zhang, M.L.1    Zhou, Z.H.2
  • 14
    • 45049085740 scopus 로고    scopus 로고
    • An EM based multiple instance learning method for image classification
    • Pao, H.T., Chuang, S.C., Xu, Y.Y., Fu, H.: An EM based multiple instance learning method for image classification. Expert Systems with Applications 35(3), 1468-1472 (2008)
    • (2008) Expert Systems with Applications , vol.35 , Issue.3 , pp. 1468-1472
    • Pao, H.T.1    Chuang, S.C.2    Xu, Y.Y.3    Fu, H.4
  • 16
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demsar, J.: Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 17, 1-30 (2006)
    • (2006) Journal of Machine Learning Research , vol.17 , pp. 1-30
    • Demsar, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.