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Volumn 3, Issue , 2003, Pages 2265-2268

Fusing Output Information in Neural Networks: Ensemble Performs Better

Author keywords

Information fusion; Model selection; Neural network ensembles; Probability estimation; Regularization; Statistical pattern recognition

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; DECISION MAKING; ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; MEDICAL IMAGING; PATTERN RECOGNITION; PROBABILITY; PROBLEM SOLVING; STATISTICAL METHODS; VECTORS;

EID: 1542301061     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (6)
  • 1
    • 0034856957 scopus 로고    scopus 로고
    • Decision fusion in neural network ensembles
    • N.M. Wanas and M.S. Kamel,"Decision fusion in neural network ensembles," Proc. IJCNN-01, vol.4,pp. 2952-2957, 2001.
    • (2001) Proc. IJCNN-01 , vol.4 , pp. 2952-2957
    • Wanas, N.M.1    Kamel, M.S.2
  • 2
    • 0030356238 scopus 로고    scopus 로고
    • Actively searching for an effective neural network ensemble
    • D. W. Opitz and J. W. Shavlik, "Actively searching for an effective neural network ensemble," Connection Science, vol.8, pp.337-353, 1996.
    • (1996) Connection Science , vol.8 , pp. 337-353
    • Opitz, D.W.1    Shavlik, J.W.2
  • 3
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • M. I. Jordan and R. A. Jacobs, "Hierarchical mixtures of experts and the EM algorithm," Neural Compu., vol.6, pp.181-214, 1994.
    • (1994) Neural Compu. , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 4
    • 1542315099 scopus 로고    scopus 로고
    • Designing neural networks to estimate posterior class probabilities
    • Orlando, FL, USA, July
    • J. I. Arribas and J. Cid-Sueiro, "Designing neural networks to estimate posterior class probabilities," Proc. of SCI and ISAS (invited), vol. 11, pp.451-478, Orlando, FL, USA, July 2000.
    • (2000) Proc. of SCI and ISAS (Invited) , vol.11 , pp. 451-478
    • Arribas, J.I.1    Cid-Sueiro, J.2
  • 5
    • 0033321049 scopus 로고    scopus 로고
    • Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions
    • Madison, WI, USA
    • J. I. Arribas, J. Cid-Sueiro, T. Adali and A. R. Figueiras-Vidal, "Neural architectures for parametric estimation of a posteriori probabilities by constrained conditional density functions," IEEE Workshop on Neural Networks for Signal Processing, pp.263-272, Madison, WI, USA, 1999.
    • (1999) IEEE Workshop on Neural Networks for Signal Processing , pp. 263-272
    • Arribas, J.I.1    Cid-Sueiro, J.2    Adali, T.3    Figueiras-Vidal, A.R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.