메뉴 건너뛰기




Volumn 18, Issue 7, 2009, Pages 813-820

Combining support vector regression with feature selection for multivariate calibration

Author keywords

Artificial neural networks; Feature selection; Multivariate calibration; Partial least square; Support vector regression

Indexed keywords


EID: 70350140464     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-008-0202-6     Document Type: Article
Times cited : (22)

References (28)
  • 1
    • 0033653007 scopus 로고    scopus 로고
    • Application of PLS multivariate calibration for the determination of the hydroxyl group content in calcined silica by DRIFTS
    • Peussa M, Härkönen S, Puputti J, Niinistö L (2000) Application of PLS multivariate calibration for the determination of the hydroxyl group content in calcined silica by DRIFTS. J Chemom 14:501-512.
    • (2000) J Chemom , vol.14 , pp. 501-512
    • Peussa, M.1    Härkönen, S.2    Puputti, J.3    Niinistö, L.4
  • 2
    • 0036086103 scopus 로고    scopus 로고
    • Multivariate calibration stability: A comparison of methods
    • Marx BD, Eilers PHC (2002) Multivariate calibration stability: a comparison of methods. J Chemom 16:129-140.
    • (2002) J Chemom , vol.16 , pp. 129-140
    • Marx, B.D.1    Eilers, P.H.C.2
  • 4
    • 0032573346 scopus 로고    scopus 로고
    • The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration
    • Poppi RJ, Massart DL (1998) The optimal brain surgeon for pruning neural network architecture applied to multivariate calibration. Anal Chim Acta 375:187-195.
    • (1998) Anal Chim Acta , vol.375 , pp. 187-195
    • Poppi, R.J.1    Massart, D.L.2
  • 5
    • 0001447184 scopus 로고
    • Neural network studies: 1. comparison of overfitting and overtraining
    • Tetko VI, Livingstone JD, Luik IA (1995) Neural network studies: 1. comparison of overfitting and overtraining. J Chem Inform Comp Sci 35:826-833.
    • (1995) J Chem Inform Comp Sci , vol.35 , pp. 826-833
    • Tetko, V.I.1    Livingstone, J.D.2    Luik, I.A.3
  • 6
    • 0000513303 scopus 로고
    • Principled architecture selection for neural networks: Application to corporate bond rating prediction
    • J. E. Moody, S. J. Hanson, and R. P. Lippmann (Eds.), Morgan Kaufmann Publishers, Inc., Menlo Park
    • Moody J, Utans J (1992) Principled architecture selection for neural networks: application to corporate bond rating prediction. In: Moody JE, Hanson SJ, Lippmann RP (eds) Advances in neural Information processing systems. Morgan Kaufmann Publishers, Inc., Menlo Park, pp. 683-690.
    • (1992) Advances in Neural Information Processing Systems , pp. 683-690
    • Moody, J.1    Utans, J.2
  • 10
    • 0036685120 scopus 로고    scopus 로고
    • Applicational aspects of support vector machines
    • Belousov AI, Verzakov SA, von Frese J (2002) Applicational aspects of support vector machines. J Chemom 16:482-489.
    • (2002) J Chemom , vol.16 , pp. 482-489
    • Belousov, A.I.1    Verzakov, S.A.2    von Frese, J.3
  • 11
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • Liu H, Yu L (2005) Toward integrating feature selection algorithms for classification and clustering. IEEE Trans Knowl Data Eng 17(3):1-12.
    • (2005) IEEE Trans Knowl Data Eng , vol.17 , Issue.3 , pp. 1-12
    • Liu, H.1    Yu, L.2
  • 14
    • 0003573483 scopus 로고
    • Minima of functions of several variables with inequalities as side constraints
    • Department of Mathematics, University of Chicago
    • Karush W (1939) Minima of functions of several variables with inequalities as side constraints. Master's Thesis, Department of Mathematics, University of Chicago.
    • (1939) Master's Thesis
    • Karush, W.1
  • 16
    • 0001500115 scopus 로고
    • Functions of positive and negative type and their connection with the theory of integral equations
    • Mercer J (1909) Functions of positive and negative type and their connection with the theory of integral equations. Philos Trans Roy Soc Lond A 209:415-446.
    • (1909) Philos Trans Roy Soc Lond A , vol.209 , pp. 415-446
    • Mercer, J.1
  • 17
    • 4944228528 scopus 로고    scopus 로고
    • Technical report, Department of Computer Science and Information Engineering of National Taiwan University, (14 August 2003)
    • Hsu CW, Chang CC, Lin CJ (2003) A practical guide to support vector classification. Technical report, Department of Computer Science and Information Engineering of National Taiwan University, Available: http://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf (14 August 2003).
    • (2003) A Practical Guide to Support Vector Classification
    • Hsu, C.W.1    Chang, C.C.2    Lin, C.J.3
  • 18
    • 0141912837 scopus 로고    scopus 로고
    • University of Dortmund, Lehrstuhl Informatik 8, (14 August 2003)
    • Rüping S (2000) Mysvm-Manual. University of Dortmund, Lehrstuhl Informatik 8, Available: http://www-ai.cs.uni-dortmund.de/SOFTWARE/mySvm/(14 August 2003).
    • (2000) Mysvm-Manual
    • Rüping, S.1
  • 22
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157-1182.
    • (2003) J Mach Learn Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 27
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226-1238.
    • (2005) IEEE Trans Pattern Anal Mach Intell , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 28
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V (2002) Gene selection for cancer classification using support vector machines. Mach Learn 46:389-422.
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.