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Volumn 8774, Issue , 2014, Pages 153-164

A new multi-class fuzzy support vector machine algorithm

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY INFERENCE; LEARNING ALGORITHMS; MACHINE LEARNING; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 84910041719     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-11656-3_14     Document Type: Conference Paper
Times cited : (5)

References (14)
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    • Semi-supervised learning
    • In: Bianchini, M., Maggini, M., Jain, L.C. (eds.), Springer, Heidelberg
    • Hady, M.F.A., Schwenker, F.: Semi-supervised learning. In: Bianchini, M., Maggini, M., Jain, L.C. (eds.) Handbook on Neural Information Processing. ISRL, vol. 49, pp. 215-239. Springer, Heidelberg (2013)
    • (2013) Handbook on Neural Information Processing. ISRL , vol.49 , pp. 215-239
    • Hady, M.F.A.1    Schwenker, F.2
  • 5
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • Hsu, C.W., Lin, C.J.: A comparison of methods for multiclass support vector machines. IEEE Transactions Neural Networks 13(2), 415-425 (2002)
    • (2002) IEEE Transactions Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2
  • 6
    • 27244456854 scopus 로고    scopus 로고
    • Comparison of multiclass SVM decomposition schemes for visual object recognition
    • In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.), Springer, Heidelberg
    • Kahsay, L., Schwenker, F., Palm, G.: Comparison of multiclass SVM decomposition schemes for visual object recognition. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) DAGM 2005. LNCS, vol. 3663, pp. 334-341. Springer, Heidelberg (2005)
    • (2005) DAGM 2005. LNCS , vol.3663 , pp. 334-341
    • Kahsay, L.1    Schwenker, F.2    Palm, G.3
  • 7
    • 0022219988 scopus 로고
    • A fuzzy k-nearest neighbor algorithm. IEEE Transactions on Systems
    • Keller, J.M., Gray, M.R., Givens, J.A.: A fuzzy k-nearest neighbor algorithm. IEEE Transactions on Systems, Man and Cybernetics 4, 580-585 (1985)
    • (1985) Man and Cybernetics , vol.4 , pp. 580-585
    • Keller, J.M.1    Gray, M.R.2    Givens, J.A.3
  • 9
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Platt, J.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers, pp. 61-74 (1999)
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.1
  • 10
    • 84867329306 scopus 로고    scopus 로고
    • Investigating fuzzy-input fuzzyoutput support vector machines for robust voice quality classification
    • Scherer, S., Kane, J., Gobl, C., Schwenker, F.: Investigating fuzzy-input fuzzyoutput support vector machines for robust voice quality classification. Computer Speech & Language 27(1), 263-287 (2013)
    • (2013) Computer Speech & Language , vol.27 , Issue.1 , pp. 263-287
    • Scherer, S.1    Kane, J.2    Gobl, C.3    Schwenker, F.4
  • 11
    • 0035015680 scopus 로고    scopus 로고
    • Three learning phases for radial-basisfunction networks
    • Schwenker, F., Kestler, H.A., Palm, G.: Three learning phases for radial-basisfunction networks. Neural Networks 14(4-5), 439-458 (2001)
    • (2001) Neural Networks , vol.14 , Issue.4-5 , pp. 439-458
    • Schwenker, F.1    Kestler, H.A.2    Palm, G.3
  • 12
    • 38049120940 scopus 로고    scopus 로고
    • Fuzzy-input fuzzy-output one-against-all support vector machines
    • In: Apolloni, B., Howlett, R.J., Jain, L. (eds.), Springer, Heidelberg
    • Thiel, C., Scherer, S., Schwenker, F.: Fuzzy-input fuzzy-output one-against-all support vector machines. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part III. LNCS (LNAI), vol. 4694, pp. 156-165. Springer, Heidelberg (2007)
    • (2007) KES 2007, Part III. LNCS (LNAI) , vol.4694 , pp. 156-165
    • Thiel, C.1    Scherer, S.2    Schwenker, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.