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Volumn 4113 LNCS - I, Issue , 2006, Pages 106-114

Fast kernel classifier construction using orthogonal forward selection to minimise leave-one-out misclassification rate

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS;

EID: 33749569731     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11816157_11     Document Type: Conference Paper
Times cited : (8)

References (17)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H.: A New Look at the Statistical Model Identification, IEEE Trans. Automatic Control, vol.AC-19,(1974)716-723
    • (1974) IEEE Trans. Automatic Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 3
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector machine
    • Tipping,M.E.:Sparse Bayesian Learning and the Relevance Vector Machine, J. Machine Learning Research, vol.1,(2001)211-244
    • (2001) J. Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 5
    • 0036738761 scopus 로고    scopus 로고
    • Nonlinear model structure design and construction using orthogonal least squares and D-optimality design
    • Hong,X., Harris,C.J.: Nonlinear Model Structure Design and Construction using Orthogonal Least Squares and D-optimality Design, IEEE Trans. Neural Networks, vol.13, no.5,(2001) 1245-1250
    • (2001) IEEE Trans. Neural Networks , vol.13 , Issue.5 , pp. 1245-1250
    • Hong, X.1    Harris, C.J.2
  • 6
    • 0024771664 scopus 로고
    • Orthogonal least squares methods and their applications to non-linear system identification
    • Chen,S., Billings, S.A.,W. Luo.: Orthogonal Least Squares Methods and Their Applications to Non-linear System Identification,Int. J. Control, vol.50, (1989)1873-1896
    • (1989) Int. J. Control , vol.50 , pp. 1873-1896
    • Chen, S.1    Billings, S.A.2    Luo, W.3
  • 7
    • 0036740269 scopus 로고    scopus 로고
    • RBF neural network center selection based on fisher ratio class separability measure
    • Mao,K.Z.: RBF Neural Network Center Selection Based on Fisher Ratio Class Separability Measure, IEEE Trans. Neural Networks, vol.13, no.5, (2002)1211-1217
    • (2002) IEEE Trans. Neural Networks , vol.13 , Issue.5 , pp. 1211-1217
    • Mao, K.Z.1
  • 8
    • 33846063532 scopus 로고    scopus 로고
    • Kernel classifier construction using orthogonal forward selection and boosting with fisher ratio class separability
    • accepted for publication
    • Chen,S., Wang,X.X., Hong,X., Harris,C.J.: Kernel classifier construction using orthogonal forward selection and boosting with fisher ratio class separability, IEEE Trans. Neural Networks, accepted for publication, 2006
    • (2006) IEEE Trans. Neural Networks
    • Chen, S.1    Wang, X.X.2    Hong, X.3    Harris, C.J.4
  • 10
    • 0000629975 scopus 로고
    • Cross validatory choice and assessment of statistical predictions
    • Stone,M.: Cross Validatory Choice and Assessment of Statistical Predictions, Applied Statistics, vol.36, pp.117-147, 1974.
    • (1974) Applied Statistics , vol.36 , pp. 117-147
    • Stone, M.1
  • 11
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing good ridge parameter
    • Golub, G.H., Heath,M., Wahba,G.: Generalized cross-validation as a method for choosing good ridge parameter, Technometrics, vol.21, no.2, 1979(215-223)
    • (1979) Technometrics , vol.21 , Issue.2 , pp. 215-223
    • Golub, G.H.1    Heath, M.2    Wahba, G.3
  • 12
    • 0037861058 scopus 로고    scopus 로고
    • Automatic nonlinear predictive model construction using forward regression and the PRESS statistic
    • X. Hong, P.M. Sharkey, K. Warwick.:Automatic Nonlinear Predictive Model Construction using Forward Regression and the PRESS Statistic, IEE Proc. - Control Theory and Applications, vol.150, no.3,(2003)245-254
    • (2003) IEE Proc. - Control Theory and Applications , vol.150 , Issue.3 , pp. 245-254
    • Hong, X.1    Sharkey, P.M.2    Warwick, K.3
  • 14
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • Mackay,D.J.:Bayesian Interpolation, Neural Computation, vol.4, no.3, (1992)415-447
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 415-447
    • Mackay, D.J.1
  • 17
    • 84941164092 scopus 로고    scopus 로고
    • http://ida.first.fraunhofer.de/projects/bench/benchmarks.htm


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.