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Volumn , Issue , 1997, Pages 571-577

A mixture of experts classifier with learning based on both labelled and unlabelled data

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; MIXTURES; RADIAL BASIS FUNCTION NETWORKS;

EID: 84898980291     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (277)

References (12)
  • 1
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    • Castelli, V.1    Cover, T.M.2
  • 4
    • 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 Computation, 6:181-214, 1994.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M.I.1    Jacobs, R.A.2
  • 5
    • 0024771475 scopus 로고
    • Pattern classification using neural networks
    • R. P. Lippmann. Pattern classification using neural networks. IEEE Communications Magazine, 27, 47-64, 1989.
    • (1989) IEEE Communications Magazine , vol.27 , pp. 47-64
    • Lippmann, R.P.1
  • 7
    • 0442319141 scopus 로고    scopus 로고
    • A generalized Gaussian mixture classifier with learning based on both labelled and unlabelled data
    • D. J. Miller and H. S. Uyar. A generalized Gaussian mixture classifier with learning based on both labelled and unlabelled data. Conf. on Info. Sci. and Sys., 1996.
    • (1996) Conf. on Info. Sci. and Sys.
    • Miller, D.J.1    Uyar, H.S.2
  • 8
    • 84898975753 scopus 로고    scopus 로고
    • A mixture model equivalent to the radial basis function classifier
    • Submitted to
    • D. J. Miller. A mixture model equivalent to the radial basis function classifier. Submitted to Neural Computation, 1996.
    • (1996) Neural Computation
    • Miller, D.J.1
  • 9
    • 0000672424 scopus 로고
    • Fast learning in locally-tuned processing units
    • J. Moody and C. J. Darken. Fast learning in locally-tuned processing units. Neural Computation, 1:281-294, 1989.
    • (1989) Neural Computation , vol.1 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 10
    • 0028499630 scopus 로고
    • The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon
    • B. Shashahani and D. Landgrebe. The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon. IEEE Transactions on Geoscience and Remote Sensing, 32:1087-1095, 1994.
    • (1994) IEEE Transactions on Geoscience and Remote Sensing , vol.32 , pp. 1087-1095
    • Shashahani, B.1    Landgrebe, D.2
  • 11
    • 85153928966 scopus 로고
    • Efficient methods for dealing with missing data in supervised learning
    • V. Tresp, R. Neuneier, and S. Ahmad. Efficient methods for dealing with missing data in supervised learning. In Neural Information Processing Systems 7, 689-696,1995.
    • (1995) Neural Information Processing Systems , vol.7 , pp. 689-696
    • Tresp, V.1    Neuneier, R.2    Ahmad, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.