Publications

Found 321 results
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Braden, R., Clark D. D., Crowcroft J., Davie B., Deering S., Estrin D., et al. (1998).  Recommendations on Queue Management and Congestion Avoidance in the Internet.
Braden, R., Faber T.., & Handley M. (2002).  From Protocol Stack to Protocol Heap - Role-Based Architecture. Proceedings of the First Workshop on Hot Topics in Networking (HotNets-I).
Bracci, P. M., Skibola C. F., Conde L., Halperin E., Lightfoot T., Smith A., et al. (2010).  Chemokine Polymorphisms and Lymphoma: A Pooled Analysis. Leukemia and Lymphoma. 51(3), 497-506.
Bozonnet, S., Evans N., Anguera X., Vinyals O., Friedland G., & Fredouille C. (2010).  System Output Combination for Improved Speaker Diarization. 2642-2645.
Bourlard, H., Cohen M., Kohn P., Morgan N., & Wooters C. (1991).  Phonetic Context in Hybrid HMM/MLP Continuous Speech Recognition. Proceedings of the Second European Conference on Speech Communication and Technology (Eurospeech '91). 109-112.
Bourlard, H., & Morgan N. (1990).  Continuous Speech Recognition Using Multilayer Perceptrons with Hidden Markov Models. Proceedings of the IEEE International Conference of Acoustics, Speech & Signal Processing (ICASSP 1990).
Bourlard, H., Morgan N., & Renals S. (1992).  Neural nets and hidden Markov models: Review and Generalizations. 11(2-3), 237-246.
Bourlard, H., & Morgan N. (1996).  Hybrid Connnectionist Models for Continuous Speech Recognition. 259-283.
Bourlard, H., & Morgan N. (1991).  Connectionist Approaches to the Use of Markov Models for Continuous Speech Recognition. III, 213-219.
Bourlard, H., & Morgan N. (1989).  Merging Multilayer Perceptrons and Hidden Markov Models: Some Experiments in Continuous Speech Recognition.
Bourlard, H., & Morgan N. (1989).  Merging Multilayer Perceptrons & Hidden Markov Models: Some Experiments in Continuous Speech Recognition.
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.
Bourlard, H., Konig Y., & Morgan N. (1996).  A Training Algorithm for Statistical Sequence Recognition with Applications to Transition-Based Speech Recognition. IEEE Signal Processing Letters. 203-205.
Bourlard, H., & Morgan N. (1990).  Merging Multilayer Perceptrons & Hidden Markov Models: Some Experiments in Continuous Speech Recognition.
Bourlard, H., & Morgan N. (1998).  Hybrid HMM/ANN Systems for Speech Recognition: Overview and New Research Directions. 389-417.
Bourlard, H., Konig Y., & Morgan N. (1994).  Remap: Recursive Estimation and Maximization of a Posteriori Probabilities.
Bourlard, H., & Morgan N. (1991).  Neural Networks for Statistical Inference: Generalizations with Applications to Speech Recognition. Proceedings of the International Joint Conference on Neural Networks (IJCNN '91).
Bourlard, H., Hermansky H., & Morgan N. (1996).  Towards Increasing Speech Recognition Error Rates. Speech Communication. 205-231.
Bourlard, H., & Wellekens C. (1988).  Links Between Markov Models and Multilayer Perceptrons.
Bourlard, H., & Morgan N. (1990).  A Continuous Speech Recognition System Embedding MLP into HMM. II, 186-193.
Bourlard, H., & Morgan N. (1993).  Connectionist Speech Recognition: A Hybrid Approach.
Bourlard, H., & Morgan N. (1998).  Connectionist Techniques for Speech Recognition. 356-361.
Bourlard, H., & Morgan N. (1990).  Generalization and Parameter Estimation in Feedforward Nets: Some Experiments. Advances in Neural Information Processing Systems. II, 630-637.
Bourlard, H., & Morgan N. (1991).  Neural Networks for Statistical Inference: Generalizations with Applications to Speech Recognition. Proceedings of the the International Joint Conference on Neural Networks (IJCNN '91).
Bourlard, H., Dupont S., Hermansky H., & Morgan N. (1996).  Towards Subband-Based Speech Recognition. Proceedings of the VIII European Signal Processing Conference (EUSIPCO '96). 1579-1582.

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