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Volumn 6283 LNCS, Issue , 2010, Pages 21-28

Generalized derivative based kernelized learning vector quantization

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC PARAMETER ADAPTATION; GENERALIZATION ERROR BOUNDS; GENERALIZED DERIVATIVES; GENERALIZED LEARNING VECTOR QUANTIZATION; LEARNING VECTOR QUANTIZATION; REAL WORLD DATA;

EID: 78049376984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15381-5_3     Document Type: Conference Paper
Times cited : (11)

References (16)
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  • 2
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    • Stationarity of matrix relevance learning vector quantization
    • ISSN:1865-3960
    • Biehl, M., Hammer, B., Schleif, F. M., Schneider, P., Villmann, T.: Stationarity of matrix relevance learning vector quantization. Machine Learning Reports 3, 1-17 (2009) ISSN:1865-3960, http://www.uni-leipzig.de/~compint/mlr/ mlr-01-2009.pdf
    • (2009) Machine Learning Reports , vol.3 , pp. 1-17
    • Biehl, M.1    Hammer, B.2    Schleif, F.M.3    Schneider, P.4    Villmann, T.5
  • 4
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    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.1    Merz, C.2
  • 6
    • 0036791938 scopus 로고    scopus 로고
    • Generalized relevance learning vector quantization
    • Hammer, B., Villmann, T.: Generalized relevance learning vector quantization. Neural Networks 15 (8-9), 1059-1068 (2002)
    • (2002) Neural. Networks , vol.15 , Issue.8-9 , pp. 1059-1068
    • Hammer, B.1    Villmann, T.2
  • 8
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    • Kohonen, T.1
  • 9
    • 10044291614 scopus 로고    scopus 로고
    • A novel kernel prototype-based learning algorithm
    • Qin, A. K., Suganthan, P. N.: A novel kernel prototype-based learning algorithm. In: Proc. of ICPR'04, pp. 2621-2624 (2004)
    • (2004) Proc. of ICPR'04 , pp. 2621-2624
    • Qin, A.K.1    Suganthan, P.N.2
  • 10
    • 85156210800 scopus 로고
    • Generalized learning vector quantization
    • Tesauro, G., Touretzky, D., Leen, T. eds., MIT Press, Cambridge
    • Sato, A. S., Yamada, K.: Generalized learning vector quantization. In: Tesauro, G., Touretzky, D., Leen, T. (eds.) Advances in Neural Information Processing Systems, vol. 7, pp. 423-429. MIT Press, Cambridge (1995)
    • (1995) Advances in Neural. Information Processing Systems , vol.7 , pp. 423-429
    • Sato, A.S.1    Yamada, K.2
  • 12
    • 72249111970 scopus 로고    scopus 로고
    • Adaptive relevance matrices in learning vector quantization
    • to appear
    • Schneider, P., Biehl, M., Hammer, B.: Adaptive relevance matrices in learning vector quantization. Neural Computation (to appear)
    • Neural. Computation
    • Schneider, P.1    Biehl, M.2    Hammer, B.3
  • 13
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    • Soft learning vector quantization
    • Seo, S., Obermayer, K.: Soft learning vector quantization. Neural Computation 15, 1589-1604 (2003)
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    • Seo, S.1    Obermayer, K.2
  • 15
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    • Tanimoto metric in treesom for improved representation of mass spectrometry data with an underlying taxonomic structure
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    • Simmuteit, S., Schleif, F. M., Villmann, T., Elssner, T.: Tanimoto metric in treesom for improved representation of mass spectrometry data with an underlying taxonomic structure. In: Proc. of ICMLA 2009, pp. 563-567. IEEE Press, Los Alamitos (2009)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.