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Volumn 17, Issue 5, 2002, Pages 549-555

Relationship between support vector set and kernel functions in SVM

Author keywords

Boundary; Constructive learning theory; Cover; Kernel function; Support vector; Support vector machine (SVM)

Indexed keywords

DECISION THEORY; FUNCTIONS; LEARNING ALGORITHMS; OPTIMAL SYSTEMS; PATTERN RECOGNITION; POLYNOMIALS; RADIAL BASIS FUNCTION NETWORKS; SET THEORY; VECTORS;

EID: 0036739033     PISSN: 10009000     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02948823     Document Type: Article
Times cited : (36)

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  • 5
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    • A geometric approach to neural network design
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    • Ramacher U, Wesseling M. A geometric approach to neural network design. In Proc. IJCNN'89, Washington DC, Vol.II, pp.147-154.
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    • Ramacher, U.1    Wesseling, M.2
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    • A geometrical representation of McCulloch-Pitts neural model and its applications
    • Zhang L, Zhang B. A geometrical representation of McCulloch-Pitts neural model and its applications. IEEE Trans. Neural Networks, 1999, 10(4): 925-929.
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    • Zhang, L.1    Zhang, B.2
  • 7
    • 0001208825 scopus 로고    scopus 로고
    • An alternative covering design algorithm of multi-layer neural networks
    • Zhang Ling, Zhang Bo. An alternative covering design algorithm of multi-layer neural networks. Journal of Software, 1999, 10(7): 737-742.
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    • Zhang, L.1    Zhang, B.2
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    • The theory of SVM and programming based learning algorithms in neural networks
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    • Zhang, L.1
  • 9
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    • Eisenberg, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.