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Volumn 5263 LNCS, Issue PART 1, 2008, Pages 636-644

Imbalanced SVM learning with margin compensation

Author keywords

Classification; Imbalanced learning; Margin; Pattern recognition; Support vector machine

Indexed keywords

CLASSIFICATION (OF INFORMATION); INVERSE PROBLEMS; LEARNING SYSTEMS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 59149089263     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87732-5_71     Document Type: Conference Paper
Times cited : (8)

References (20)
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    • Weiss, G.M.: Mining with Rarity: A Unifying Framework. Newsletter of the ACM Special Interest Group on Knowledge Discovery and Data Mining 6, 7-19 (2004)
  • 7
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    • Burges, C.J.C.: A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery 2, 121-167 (1998)
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  • 10
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    • Akbani, R., Kwek, S., Japkowicz, N.: Applying Support Vector Machines to Imbalanced Datasets. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), 3201, pp. 39-50. Springer, Heidelberg (2004)
    • Akbani, R., Kwek, S., Japkowicz, N.: Applying Support Vector Machines to Imbalanced Datasets. In: Boulicaut, J.-F., Esposito, F., Giannotti, F., Pedreschi, D. (eds.) ECML 2004. LNCS (LNAI), vol. 3201, pp. 39-50. Springer, Heidelberg (2004)
  • 11
    • 35048860377 scopus 로고    scopus 로고
    • Cohen, G., Hilario, M., Pellegrini, C.: One-Class Support Vector Machines with a Conformal Kernel - A Case Study in Handling Class Imbalance. In: Fred, A.L.N., Caelli, T., Duin, R.P.W., Campilho, A.C., Ridder, D. (eds.) SSPR&SPR 2004. LNCS, 3138, pp. 850-858. Springer, Heidelberg (2004)
    • Cohen, G., Hilario, M., Pellegrini, C.: One-Class Support Vector Machines with a Conformal Kernel - A Case Study in Handling Class Imbalance. In: Fred, A.L.N., Caelli, T., Duin, R.P.W., Campilho, A.C., Ridder, D. (eds.) SSPR&SPR 2004. LNCS, vol. 3138, pp. 850-858. Springer, Heidelberg (2004)
  • 12
    • 24344490308 scopus 로고    scopus 로고
    • Support Vector Machines for Candidate Nodules Classification
    • Campadelli, P., Casiraghi, E., Valentini, G.: Support Vector Machines for Candidate Nodules Classification. Neurocomputing 68, 281-289 (2005)
    • (2005) Neurocomputing , vol.68 , pp. 281-289
    • Campadelli, P.1    Casiraghi, E.2    Valentini, G.3
  • 15
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    • Response Modeling with Support Vector Machines
    • Shin, H., Cho, S.B.: Response Modeling with Support Vector Machines. Expert Systems with Applications 30, 746-760 (2006)
    • (2006) Expert Systems with Applications , vol.30 , pp. 746-760
    • Shin, H.1    Cho, S.B.2
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    • Fawcett, T.: An Introduction to ROC Analysis. Pattern Recognition Letters 27, 861-874 (2006)
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    • Kubat, M., Holte, R., Matwin, S.: Learning when Negative Examples Abound. In: Someren, M.V., Widmer, G. (eds.) ECML 1997. LNCS, 1224, pp. 146-153. Springer, Heidelberg (1997)
    • Kubat, M., Holte, R., Matwin, S.: Learning when Negative Examples Abound. In: Someren, M.V., Widmer, G. (eds.) ECML 1997. LNCS, vol. 1224, pp. 146-153. Springer, Heidelberg (1997)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.