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Volumn 227, Issue , 2007, Pages 713-720

A fast linear separability test by projection of positive points on subspaces

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; ITERATIVE METHODS; MATRIX ALGEBRA; NEURAL NETWORKS; PROBLEM SOLVING; SUPPORT VECTOR MACHINES;

EID: 34547987947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273586     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 4
    • 33644988502 scopus 로고    scopus 로고
    • The linear separability problem: Some testing methods
    • Elizondo, D. (2006). The linear separability problem: Some testing methods. IEEE Transactions on Neural Networks, 17, 330-344.
    • (2006) IEEE Transactions on Neural Networks , vol.17 , pp. 330-344
    • Elizondo, D.1
  • 6
    • 0002714543 scopus 로고    scopus 로고
    • Making large-Scale SVM learning practical
    • B. Schlkopf, C. Burges and A. Smola Eds, MIT-Press
    • Joachims, T. (1999). Making large-Scale SVM learning practical. In B. Schlkopf, C. Burges and A. Smola (Eds.), Advances in Kernel Methods - Support Vector Learning. MIT-Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.