Structural adaptation in mixture of experts

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 1996, Pages 704-708

  Ramamurti, Viswanath ^a   Ghosh, Joydeep ^a  

^a The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; PATTERN RECOGNITION;

EXPERT NETWORKS; FUNCTION APPROXIMATION; MIXTURE OF EXPERTS; MODEL SELECTION PROBLEM; NETWORK SIZE; STRUCTURAL ADAPTATION; TRAINING ALGORITHMS;

MIXTURES;

EID: 84898770368     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.547656     Document Type: Conference Paper

References (6)

1. R. A. Jacobs, M. I. Jordan, S. J. Nowlan, and G. E. Hinton. Adaptive mixtures of local experts. Neural Computation, 3:79-87, 1991.
2. M. I. Jordan and R. A. Jacobs. Hierarchical mixture of experts and the EM algorithm. Neural Computation, 6:181-214, 1994.
3. L. Prechelt. PROBENl - A set of benchmarks and benchmarking rules for neural network training algorithms. Technical Report 21/94, Fakultät für Informatik, Universitat Karlsruhe, D-76128 Karlsruhe, Germany, Sept. 1994.
4. V. Ramamurti and J. Ghosh. Advances in using hierarchical mixture of experts for signal classification. In Proceedings of the IEEE International conference on Accoustics, Speech and Signal Processing, 1996.
5. S. R. Waterhouse and A. J. Robinson. Classification using hierarchical mixture of experts. In Neural Networks for Signal Processing IV: Proceedings of the IEEE Workshop, pages 177-186. IEEE Press, New York, 1994.
6. L. Xu, M. I. Jordan, and G. E. Hinton. An alternative model for mixture of experts. In G. Tesauro, D. S. Touretaky, and T. K. Leen, editors, Advances in Neural Information Processing Systems 7, pages 633-640. The MIT Press, 1995.