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Volumn , Issue , 1994, Pages 633-640

An Alternative Model for Mixtures of Experts

Author keywords

[No Author keywords available]

Indexed keywords

EM ALGORITHMS; FAST CONVERGENCE; GRADIENT ASCENT; MIXTURE OF EXPERTS; MODIFIED MODEL; NONLINEAR FUNCTION APPROXIMATION; PARAMETRIC FORMS; PIECE-WISE; PROBLEM DOMAIN; STEP SIZE;

EID: 85140116568     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (184)

References (10)
  • 1
    • 85153935725 scopus 로고
    • Function approximation via density estimation using the EM approach
    • Cowan, J. D., Tesauro, G., and Alspector, J., (Eds), San Mateo, CA: Morgan Kaufmann
    • Ghahramani, Z., & Jordan, M. I. (1994). Function approximation via density estimation using the EM approach. In Cowan, J. D., Tesauro, G., and Alspector, J., (Eds.), Advances in NIPS 6. San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in NIPS 6
    • Ghahramani, Z.1    Jordan, M. I.2
  • 3
    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EM algorithm
    • Jordan, M. L, & Jacobs, R. A. (1994). Hierarchical mixtures of experts and the EM algorithm. Neural Computation, 6, 181-214.
    • (1994) Neural Computation , vol.6 , pp. 181-214
    • Jordan, M. L1    Jacobs, R. A.2
  • 4
    • 84916512022 scopus 로고    scopus 로고
    • Convergence results for the EM approach to mixtures-of-experts architectures
    • (in press)
    • Jordan, M. I., & Xu, L. (in press). Convergence results for the EM approach to mixtures-of-experts architectures. Neural Networks.
    • Neural Networks
    • Jordan, M. I.1    Xu, L.2
  • 5
    • 0026254768 scopus 로고
    • A general regression neural network
    • Specht, D. (1991). A general regression neural network. IEEE Trans. Neural Networks, 2, 568-576.
    • (1991) IEEE Trans. Neural Networks , vol.2 , pp. 568-576
    • Specht, D.1
  • 6
    • 0000684508 scopus 로고
    • Training neural networks with deficient data
    • Cowan, J. D., Tesauro, G., & Alspector, J., (Eds), San Mateo, CA: Morgan Kaufmann
    • Tresp, V., Ahmad, S., and Neuneier, R. (1994). Training neural networks with deficient data. In Cowan, J. D., Tesauro, G., & Alspector, J., (Eds.), Advances in NIPS 6, San Mateo, CA: Morgan Kaufmann.
    • (1994) Advances in NIPS 6
    • Tresp, V.1    Ahmad, S.2    Neuneier, R.3
  • 7
    • 0026386033 scopus 로고
    • Associative switch for combining multiple classifiers
    • Seattle
    • Xu, L., Krzyzak A., & Suen, C. Y. (1991). Associative switch for combining multiple classifiers. Proc. of 1991 IJCNN, Vol. I. Seattle, 43-48.
    • (1991) Proc. of 1991 IJCNN , vol.I , pp. 43-48
    • Xu, L.1    Krzyzak, A.2    Suen, C. Y.3
  • 8
    • 0026860706 scopus 로고
    • Several methods for combining multiple classifiers and their applications in handwritten character recognition
    • Xu, L., Krzyzak A., & Suen, C. Y. (1992). Several methods for combining multiple classifiers and their applications in handwritten character recognition. IEEE Trans. on SMC, Vol. SMC-22, 418-435.
    • (1992) IEEE Trans. on SMC , vol.SMC-22 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C. Y.3
  • 9
    • 0010291089 scopus 로고
    • EM Learning on a generalized finite mixture model for combining multiple classifiers
    • Portland, OR
    • Xu, L., & Jordan, M. I. (1993). EM Learning on a generalized finite mixture model for combining multiple classifiers. Proceedings of World Congress on Neural Networks, Vol. IV. Portland, OR, 227-230.
    • (1993) Proceedings of World Congress on Neural Networks , vol.IV , pp. 227-230
    • Xu, L.1    Jordan, M. I.2
  • 10
    • 84874922731 scopus 로고
    • On convergence properties of the EM algorithm for Gaussian mixtures
    • Submitted to Neural Computation
    • Xu, L., & Jordan, M. L (1994). On convergence properties of the EM algorithm for Gaussian mixtures. Submitted to Neural Computation.
    • (1994)
    • Xu, L.1    Jordan, M. L2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.