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Volumn 1, Issue , 2004, Pages 693-698

Why pairwise is better than one-against-all or all-at-once

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FUZZY SETS; LEAST SQUARES APPROXIMATIONS; LINEAR EQUATIONS; MATHEMATICAL MODELS; PROBLEM SOLVING; VECTORS;

EID: 10944266407     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (23)
  • 3
    • 0033742076 scopus 로고    scopus 로고
    • Least squares support vector machines for classification and nonlinear modelling
    • J. A. K. Suykens, "Least Squares Support Vector Machines for Classification and Nonlinear Modelling," Neural Network World, Vol. 10, Nos. 1-2. pp. 29-47, 2000.
    • (2000) Neural Network World , vol.10 , Issue.1-2 , pp. 29-47
    • Suykens, J.A.K.1
  • 4
    • 0001939479 scopus 로고    scopus 로고
    • Sparse least squares support vector machine classifiers
    • J. A. K. Suykens, S. Lukas, and J. Vandewalle, "Sparse Least Squares Support Vector Machine Classifiers," Proc. ESANN 2000, pp. 37-42, 2000.
    • (2000) Proc. ESANN 2000 , pp. 37-42
    • Suykens, J.A.K.1    Lukas, S.2    Vandewalle, J.3
  • 5
    • 84902163067 scopus 로고    scopus 로고
    • A greedy training algorithm for sparse least-squares support vector machines
    • G. C. Cawley and N. L. C. Talbot, "A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines," Proc. ICANN 2002, pp. 681-686, 2002.
    • (2002) Proc. ICANN 2002 , pp. 681-686
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 7
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise classification and SVMs
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, Eds., MIT Press
    • U. H.-G. Kreßel, "Pairwise Classification and SVMs," In B. Schölkopf, C. J. C. Burges, and A. J. Smola, Eds., Advances in Kernel Methods: Support Vector Learning, pp. 255-268, MIT Press, 1999.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 255-268
    • Kreßel, U.H.-G.1
  • 8
    • 0000406788 scopus 로고
    • Solving multiclass learning problems via error-correcting output codes
    • T. G. Dietterich and G. Bakiri, "Solving Multiclass Learning Problems via Error-Correcting Output Codes," Journal of Artificial Intelligence Research, Vol. 2, pp. 263-286, 1995.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 9
    • 10944247285 scopus 로고    scopus 로고
    • Error correcting output codes vs. fuzzy support vector machines
    • T. Kikuchi and S. Abe, "Error Correcting Output Codes vs. Fuzzy Support Vector Machines," Proc. ANNPR 2003. pp. 192-196, 2003.
    • (2003) Proc. ANNPR 2003 , pp. 192-196
    • Kikuchi, T.1    Abe, S.2
  • 10
    • 0034863318 scopus 로고    scopus 로고
    • Fuzzy SVMs for pattern classification
    • T. Inoue and S. Abe, "Fuzzy SVMs for Pattern Classification," Proc. IJCNN'01, pp. 1449-1454, 2001.
    • (2001) Proc. IJCNN'01 , pp. 1449-1454
    • Inoue, T.1    Abe, S.2
  • 11
    • 10944241176 scopus 로고    scopus 로고
    • Analysis of multiclass support vector machines
    • S. Abe, "Analysis of Multiclass Support Vector Machines," Proc. CIMCA'2003, pp. 385-396, 2003.
    • (2003) Proc. CIMCA'2003 , pp. 385-396
    • Abe, S.1
  • 12
    • 84888364466 scopus 로고    scopus 로고
    • Large margin DAGs for multiclass classification
    • S. A. Solla, T. K. Leen, and K.-R. Müller, Eds., MIT Press
    • J. C. Platt, N. Cristianini, and J. Shawe-Taylor, "Large Margin DAGs for Multiclass Classification," In S. A. Solla, T. K. Leen, and K.-R. Müller, Eds., Advances in Neural Information Processing Systems 12, pp. 547-553, MIT Press, 2000.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 547-553
    • Platt, J.C.1    Cristianini, N.2    Shawe-Taylor, J.3
  • 14
    • 0036076190 scopus 로고    scopus 로고
    • Multiclass support vector machines using adaptive directed acyclic graph
    • B. Kijsirikul and N. Ussivakul, "Multiclass Support Vector Machines Using Adaptive Directed Acyclic Graph," Proc. IJCNN 2002, pp. 980-985, 2002.
    • (2002) Proc. IJCNN 2002 , pp. 980-985
    • Kijsirikul, B.1    Ussivakul, N.2
  • 15
    • 0141794719 scopus 로고    scopus 로고
    • Reordering adaptive directed acyclic graphs: An improved algorithm for multiclass support vector machines
    • T. Phetkaew, B. Kijsirikul, and W. Rivepiboon, "Reordering Adaptive Directed Acyclic Graphs: An Improved Algorithm for Multiclass Support Vector Machines," Proc. IJCNN 2003, Vol. 2, pp. 1605-1610, 2003.
    • (2003) Proc. IJCNN 2003 , vol.2 , pp. 1605-1610
    • Phetkaew, T.1    Kijsirikul, B.2    Rivepiboon, W.3
  • 16
    • 10944233241 scopus 로고    scopus 로고
    • Optimizing directed acyclic graph support vector machines
    • F. Takahashi and S. Abe, "Optimizing Directed Acyclic Graph Support Vector Machines," Proc. ANNPR 2003, pp. 166-170, 2003.
    • (2003) Proc. ANNPR 2003 , pp. 166-170
    • Takahashi, F.1    Abe, S.2
  • 17
    • 0037922094 scopus 로고    scopus 로고
    • Fuzzy SVMs for multiclass problems
    • S. Abe and T. Inoue, "Fuzzy SVMs for Multiclass Problems," Proc. ESANN 2002, pp. 113-118, 2002.
    • (2002) Proc. ESANN 2002 , pp. 113-118
    • Abe, S.1    Inoue, T.2
  • 18
    • 0038355084 scopus 로고    scopus 로고
    • Fuzzy least squares support vector machines for multiclass problems
    • D. Tsujinishi and S. Abe, "Fuzzy Least Squares Support Vector Machines for Multiclass Problems" Neural Networks, Vol. 16, Nos. 5-6, pp. 785-792, 2003.
    • (2003) Neural Networks , vol.16 , Issue.5-6 , pp. 785-792
    • Tsujinishi, D.1    Abe, S.2
  • 19
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • C.-W. Hsu and C.-J. Lin, "A Comparison of Methods for Multiclass Support Vector Machines," IEEE Trans. Neural Networks, Vol. 13, 2, pp. 415-425, 2002.
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 20
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • R. A. Fisher, "The Use of Multiple Measurements in Taxonomic Problems," Annals of Eugenics, Vol. 7, pp. 179-188, 1936.
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 21
    • 0025888567 scopus 로고
    • Input layer optimization of neural networks by sensitivity analysis and its application to recognition of numerals
    • H. Takenaga et al., "Input Layer Optimization of Neural Networks by Sensitivity Analysis and Its Application to Recognition of Numerals," Electrical Engineering in Japan, Vol. 111, No. 4, pp. 130-138, 1991.
    • (1991) Electrical Engineering in Japan , vol.111 , Issue.4 , pp. 130-138
    • Takenaga, H.1
  • 22
    • 0037922093 scopus 로고    scopus 로고
    • An empirical comparison of pattern recognition, neural nets, and machine learning classification methods
    • S. M. Weiss and I. Kapouleas, "An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods," Proc. IJCAI-99, Workshop ML3, pp. 55-60, 1999.
    • (1999) Proc. IJCAI-99, Workshop ML3 , pp. 55-60
    • Weiss, S.M.1    Kapouleas, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.