메뉴 건너뛰기




Volumn 20, Issue , 2011, Pages 165-180

Approximate model selection for large scale LSSVM

Author keywords

Least squares support vector machine; Matrix approximation; Model selection; Multilevel circulant matrices

Indexed keywords

BENCHMARK DATASETS; CIRCULANT MATRIX; COMPUTATIONAL COSTS; DECISION FUNCTIONS; LARGE-SCALE APPLICATIONS; LEAST SQUARES SUPPORT VECTOR MACHINES; MATRIX APPROXIMATION; MODEL SELECTION;

EID: 84876851009     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (23)
  • 1
    • 8444241860 scopus 로고    scopus 로고
    • Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
    • G.C. Cawley and N.L.C. Talbot. Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks, 17:1467-1475, 2004.
    • (2004) Neural Networks , vol.17 , pp. 1467-1475
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 2
    • 34247558132 scopus 로고    scopus 로고
    • Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters
    • G.C. Cawley and N.L.C. Talbot. Preventing over-fitting during model selection via Bayesian regularisation of the hyper-parameters. Journal of Machine Learning Research, 8:841-861, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 841-861
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 3
    • 77956907243 scopus 로고    scopus 로고
    • On over-fitting in model selection and subsequent selection bias in performance evaluation
    • G.C. Cawley and N.L.C. Talbot. On over-fitting in model selection and subsequent selection bias in performance evaluation. Journal of Machine Learning Research, 11:2079-2107, 2010.
    • (2010) Journal of Machine Learning Research , vol.11 , pp. 2079-2107
    • Cawley, G.C.1    Talbot, N.L.C.2
  • 4
    • 84899010634 scopus 로고    scopus 로고
    • Model selection for support vector machines
    • MIT Press, Cambridge, MA
    • O. Chapelle and V. Vapnik. Model selection for support vector machines. In Advances in Neural Information Processing Systems 12, pages 230-236. MIT Press, Cambridge, MA, 2000.
    • (2000) Advances in Neural Information Processing Systems , vol.12 , pp. 230-236
    • Chapelle, O.1    Vapnik, V.2
  • 5
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1):131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 9
    • 0004175163 scopus 로고
    • John Wiley and Sons, New York, NY
    • P.J. Davis. Circulant Matrices. John Wiley and Sons, New York, NY, 1979.
    • (1979) Circulant Matrices
    • Davis, P.J.1
  • 10
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classi-ers over multiple data sets
    • ISSN 1532-4435
    • J. Demšar. Statistical comparisons of classi-ers over multiple data sets. Journal of Machine Learning Research, 7:1-30, 2006. ISSN 1532-4435.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 11
    • 0037382208 scopus 로고    scopus 로고
    • Evaluation of simple performance measures for tuning SVM hyperparameters
    • K. Duan, S.S. Keerthi, and A.N. Poo. Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing, 51:41-59, 2003.
    • (2003) Neurocomputing , vol.51 , pp. 41-59
    • Duan, K.1    Keerthi, S.S.2    Poo, A.N.3
  • 13
    • 0003281852 scopus 로고
    • On estimation of characters obtained in statistical procedure of recognition
    • in Russian
    • A. Luntz and V. Brailovsky. On estimation of characters obtained in statistical procedure of recognition (in Russian). Technicheskaya Kibernetica, 3, 1969.
    • (1969) Technicheskaya Kibernetica , pp. 3
    • Luntz, A.1    Brailovsky, V.2
  • 17
    • 73649109867 scopus 로고    scopus 로고
    • Approximation of kernel matrices by circulant matrices and its application in kernel selection methods
    • G. Song and Y. Xu. Approximation of kernel matrices by circulant matrices and its application in kernel selection methods. Frontiers of mathematics in China, 5(1):123-160, 2010a.
    • (2010) Frontiers of Mathematics in China , vol.5 , Issue.1 , pp. 123-160
    • Song, G.1    Xu, Y.2
  • 18
    • 77955415830 scopus 로고    scopus 로고
    • Approximation of high-dimensional kernel matrices by multilevel circulant matrices
    • G. Song and Y. Xu. Approximation of high-dimensional kernel matrices by multilevel circulant matrices. Journal of Complexity, 26(4):375-405, 2010b.
    • (2010) Journal of Complexity , vol.26 , Issue.4 , pp. 375-405
    • Song, G.1    Xu, Y.2
  • 19
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • J.A.K. Suykens and J. Vandewalle. Least squares support vector machine classifiers. Neural Pro- cessing Letters, 9(3):293-300, 1999.
    • (1999) Neural Pro- Cessing Letters , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 20
    • 3042570112 scopus 로고    scopus 로고
    • A unifying approach to some old and new theorems on distribution and clustering
    • E.E. Tyrtyshnikov. A unifying approach to some old and new theorems on distribution and clustering. Linear Algebra and its Applications, 232:1-43, 1996.
    • (1996) Linear Algebra and its Applications , vol.232 , pp. 1-43
    • Tyrtyshnikov, E.E.1
  • 22
    • 0034264380 scopus 로고    scopus 로고
    • Bounds on error expectation for support vector machines
    • V. Vapnik and O. Chapelle. Bounds on error expectation for support vector machines. Neural Computation, 12(9):2013-2036, 2000.
    • (2000) Neural Computation , vol.12 , Issue.9 , pp. 2013-2036
    • Vapnik, V.1    Chapelle, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.