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Volumn 1983, Issue , 2000, Pages 268-273

Feature selection for support vector machines in financial time series forecasting

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; ENGINEERING EDUCATION; FINANCIAL DATA PROCESSING; INTELLIGENT AGENTS; SUPPORT VECTOR MACHINES;

EID: 84880017451     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44491-2_38     Document Type: Conference Paper
Times cited : (14)

References (10)
  • 2
    • 84887252594 scopus 로고    scopus 로고
    • Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing
    • Vapnik, V. N., Golowich, S. E., Smola, A. J.: Support Vector Method for Function Approximation, Regression Estimation, and Signal Processing. Advances in Neural Information Processing Systems 9 (1996) 281-287
    • (1996) Advances in Neural Information Processing Systems , vol.9 , pp. 281-287
    • Vapnik, V.N.1    Golowich, S.E.2    Smola, A.J.3
  • 3
    • 0032856761 scopus 로고    scopus 로고
    • On Domain Knowledge and Feature Selection Using a SVM
    • Barzilay, O., Brailovsky, V. L.: On Domain Knowledge and Feature Selection Using a SVM. Pattern Recognition Letters 20 (1999) 475-484.
    • (1999) Pattern Recognition Letters , vol.20 , pp. 475-484
    • Barzilay, O.1    Brailovsky, V.L.2
  • 4
    • 0031120498 scopus 로고    scopus 로고
    • Feature Saliency Measures. Computers
    • Steppe, J. M., Bauer, Jr. K.W.: Feature Saliency Measures. Computers Math. Application 33 (1997) 109-126
    • (1997) Math. Application , vol.33 , pp. 109-126
    • Steppe, J.M.1    Bauer, K.W.2
  • 8
    • 0031553665 scopus 로고    scopus 로고
    • Perturbation Method for Deleting Redundant Inputs of Perceptron Networks
    • Zurada, J. M., Malinowski, A., Usui, S.: Perturbation Method for Deleting Redundant Inputs of Perceptron Networks. Neurocomputing 14 (1997) 177-193
    • (1997) Neurocomputing , vol.14 , pp. 177-193
    • Zurada, J.M.1    Malinowski, A.2    Usui, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.