Publications

Found 983 results
Author Title Type [ Year(Asc)]
Filters: First Letter Of Last Name is M  [Clear All Filters]
1993
Müller, S. M. (1993).  A Performance Analysis of the CNS-1 on Large, Dense Backpropagation Networks.
Codenotti, B., Manzini G., Margara L., & Resta G. (1993).  Perturbation: An Efficient Technique for the Solution of Very Large Instances of the Euclidean TSP.
Codenotti, B., Manzini G., Margara L., & Resta G. (1993).  Perturbation: An Efficient Technique for the Solution of Very Large Instances of the Euclidean TSP.
Moody, J., Levin A.., & Rehfuss S. (1993).  Predicting the U.S. Index of Industrial Production. Proceedings of Parallel Applications in Statistics and Economics '93. 3(6), 791-794.
Karp, R. M., Motwani R., & Nisan N. (1993).  Probabilistic analysis of network flow algorithms. Mathematics of Operations Research. 18(1), 71-97.
Feldman, J., Lim C-C., & Murer S. (1993).  pSather: Layered Extensions to an Object-Oriented Language for Efficient Parallel Computation.
Murer, S., Feldman J., Lim C-C., & Seidel M-M. (1993).  pSather: Layered Extensions to an Object-Oriented Language for Efficient Parallel Computation.
Hermansky, H., Morgan N., & Hirsch H-G. (1993).  Recognition of Speech in Additive and Convolutional Noise Based on RASTA Spectral Processing. Proceedings of the IEEE Conference on Acoustics, Speech & Signal Processing.
Mani, D.. R., & Shastri L. (1993).  Reflexive Reasoning with Multiple-Instantiation in in a Connectionist Reasoning System with a Typed Hierarchy. 5, 205-242.
Murer, S., Omohundro S., & Szyperski C. (1993).  Sather Iters: Object-Oriented Iteration Abstraction.
Konig, Y., & Morgan N. (1993).  Supervised and Unsupervised Clustering of the Speaker Space for Connectionist Speech Recognition. Proceedings of the IEEE International Conference on Acoustics, Speech & Signal Processing.
Feldman, J., Lim C-C., & Murer S. (1993).  Unifying Control- and Data-Parallelism in an Object-Oriented Language. Proceedings of the Joint Symposium on Parallel Processing.
Leen, T. K., & Moody J. (1993).  Weight-Space Probability Densities and Equilibria in Stochastic Learning.
1992
Wooters, C., & Morgan N. (1992).  Acoustic Sub-word Models in the Berkeley Restaurant Project. Proceedings of the International Conference on Spoken Language Processing (ICSLP'92). 1551-1554.
[Anonymous] (1992).  Advances in Neural Information Processing Systems 4. (Moody, J., Hanson S.., & Lippmann R.., Ed.).
Bourlard, H., Morgan N., Wooters C., & Renals S. (1992).  CDNN: A Context Dependent Neural Network for Continuous Speech Recognition. Proceedings of IEEE International Conference on Acoustics, Speech & Signal Processing.
Cutello, V., & Montero J. (1992).  A Characterization of Rational Amalgamation Operations.
Abrash, V., Cohen M., Franco H., Morgan N., & Konig Y. (1992).  Connectionist Gender Adaptation in a Hybrid Neural Network / Hidden Markov Model Speech Recognition System. Proceedings of the International Conference on Spoken Language Processing (ICSLP'92). 911-914.
Renals, S., & Morgan N. (1992).  Connectionist Probability Estimation in HMM Speech Recognition.
Renals, S., Morgan N., Cohen M., Bourlard H., & Franco H. (1992).  Connectionist Probability Estimation in the Decipher Speech Recognition System. Proceedings of the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP 1992). I601-I604.
Wooters, C., & Morgan N. (1992).  Connectionist-Based Acoustic Word Models. Proceedings of the IEEE Workshop on Neural Networks for Signal Processing. 157-163.
Franco, H., Cohen M., Morgan N., Rumelhart D., & Abrash V. (1992).  Context-Dependent Connectionist Probability Estimation in a Hybrid HMM-Neural Net Speech Recognition System. Proceedings of the International Joint Conference on Neural Networks.
Moran, M., & Wolfinger B. (1992).  Design of a Continuous Media Data Transport Service and Protocol.
Moody, J. (1992).  The Effective Number of Parameters: an Analysis of Generalization and Regularization in Nonlinear Learning Systems. 847-854.
Codenotti, B., & Margara L. (1992).  Efficient Clustering Techniques for the Geometric Traveling Salesman Problem.

Pages