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Volumn 3697 LNCS, Issue , 2005, Pages 169-174

Study of the behavior of a new boosting algorithm for recurrent neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; NUMERICAL METHODS; PARAMETER ESTIMATION; PERSONNEL TRAINING; REGRESSION ANALYSIS;

EID: 33646260221     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 2
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire, R.E.: The Strength of Weak Learnability. Machine Learning 5 (1990) 197-227
    • (1990) Machine Learning , vol.5 , pp. 197-227
    • Schapire, R.E.1
  • 3
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y., Schapire, R.E.: A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. Journal of Computer and System Sciences 55 (1997) 119-139
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 7
    • 0002550596 scopus 로고    scopus 로고
    • Functional gradient techniques for combining hypotheses
    • Smola, A.J., et al. (eds.): MIT Press
    • Mason, L., Baxter, J., Bartlett, P.L., Frean, M.: Functional gradient techniques for combining hypotheses. In: Smola, A.J., et al. (eds.): Advances in Large Margin Classifiers. MIT Press (1999) 221-247
    • (1999) Advances in Large Margin Classifiers , pp. 221-247
    • Mason, L.1    Baxter, J.2    Bartlett, P.L.3    Frean, M.4
  • 8
    • 0036568038 scopus 로고    scopus 로고
    • Boosting methods for regression
    • Duffy, N., Helmbold, D.: Boosting Methods for Regression, Machine Learning 47 (2002) 153-200
    • (2002) Machine Learning , vol.47 , pp. 153-200
    • Duffy, N.1    Helmbold, D.2
  • 11
    • 10944223491 scopus 로고    scopus 로고
    • Boosting recurrent neural networks for time series prediction
    • Pearson, D.W., Steele, N.C., Albrecht, R.F. (eds.): Springer
    • Boné, R., Assaad, M., Crucianu, M.: Boosting Recurrent Neural Networks for Time Series Prediction. In: Pearson, D.W., Steele, N.C., Albrecht, R.F. (eds.): Artificial Neural Networks and Genetic Algorithms. Springer (2003) 18-22
    • (2003) Artificial Neural Networks and Genetic Algorithms , pp. 18-22
    • Boné, R.1    Assaad, M.2    Crucianu, M.3
  • 12
    • 0036825531 scopus 로고    scopus 로고
    • Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks
    • Bońe, R., Crucianu, M., Asselin de Beauville, J.-P.: Learning Long-Term Dependencies by the Selective Addition of Time-Delayed Connections to Recurrent Neural Networks. NeuroComputing 48 (2002) 251-266
    • (2002) NeuroComputing , vol.48 , pp. 251-266
    • Bońe, R.1    Crucianu, M.2    Asselin De Beauville, J.-P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.