Publications

Found 327 results
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Bradner, S.., & Paxson V. (2000).  IANA Allocation Guidelines For Values In the Internet Protocol and Related Headers.
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).
Braden, R., Clark D. D., & Shenker S. J. (1994).  Integrated Services in the Internet Architecture: An Overview.
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., & 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., Konig Y., & Morgan N. (1994).  Remap: Recursive Estimation and Maximization of a Posteriori Probabilities.
Bourlard, H., & Morgan N. (1996).  Hybrid Connnectionist Models for Continuous Speech Recognition. 259-283.
Bourlard, H., & Wellekens C. (1988).  Links Between Markov Models and Multilayer Perceptrons.
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 & 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., & 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., & 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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