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Volumn 8, Issue 4, 1996, Pages 843-854

Using Neural Networks to Model Conditional Multivariate Densities

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; ECONOMICS; MULTIVARIATE ANALYSIS; STATISTICAL MODEL;

EID: 0030585112     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/neco.1996.8.4.843     Document Type: Article
Times cited : (91)

References (17)
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    • Buntine, W. L., and Weigend, A. S. 1991. Bayesian back-propagation. Complex Syst. 5, 603-643.
    • (1991) Complex Syst. , vol.5 , pp. 603-643
    • Buntine, W.L.1    Weigend, A.S.2
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    • Supervised learning from incomplete data via an EM approach
    • J. D. Cowan, G. Tesauro, and J. Alspector, eds., Morgan Kaufmann, San Mateo, CA
    • Ghahramani, Z., and Jordan, M. I. 1994. Supervised learning from incomplete data via an EM approach. In Advances in Neural Information Processing Systems 6, J. D. Cowan, G. Tesauro, and J. Alspector, eds., pp. 120-127. Morgan Kaufmann, San Mateo, CA.
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    • (1985) Matrix Analysis
    • Horn, R.A.1    Johnson, C.R.2
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    • 0003611509 scopus 로고
    • Ph.D. thesis, Graduate Department of Computer Science, University of Toronto
    • Neal, R. M. 1995. Bayesian learning for neural networks. Ph.D. thesis, Graduate Department of Computer Science, University of Toronto.
    • (1995) Bayesian Learning for Neural Networks
    • Neal, R.M.1
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    • Learning local error bars for nonlinear regression
    • G. Tesauro, D. S. Touretzky, and T. K. Leen, eds., MIT Press, Cambridge, MA
    • Nix, D. A., and Weigend, A. S. 1995. Learning local error bars for nonlinear regression. In Advances in Neural Information Processing Systems 7, G. Tesauro, D. S. Touretzky, and T. K. Leen, eds., pp. 489-496. MIT Press, Cambridge, MA.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.