Publications

Found 4258 results
Author [ Title(Desc)] Type Year
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N
Duffield, N., Presti F. Lo, Paxson V., & Towsley D. (2006).  Network Loss Tomography Using Striped Unicast Probes. IEEE/ACM Transactions on Networking. 697-710.
Hellerstein, J. M., Paxson V., Peterson L., Roscoe T., Shenker S. J., & Wetherall D. (2005).  The Network Oracle. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering. 28(1), 3-10.
Ferrari, D., Banerjea A., & Zhang H. (1992).  Network Support For Multimedia: A Discussion of the Tenet Approach.
Parker, A., Reddy S., Schmid T., Chang K., Saurabh G., Srivastava M., et al. (2006).  Network System Challenges in Selective Sharing and Verification for Personal, Social, and Urban-Scale Sensing Applications. Proceedings of the Fifth Workshop on Hot Topics in Networks (Hotnets-V). 37-42.
Handley, M., & Crowcroft J. (1997).  Network Text Editor (NTE): A scalable shared text editor for the MBone. Proceedings of the Annual Conference of the Association for Computing Machinery's Special Interest Group on Data Communication (ACM SIGCOMM '97).
Tangmunarunkit, H., Govindan R., Jamin S., Shenker S. J., & Willinger W. (2002).  Network Topology Generators: Degree-Based vs. Structural. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2002). 147-159.
Estrin, D., Handley M., Heidemann J., McCanne S., Xu Y.., & Yu H. (2000).  Network Visualization with the Nam, VINT Network Animator.
Raghavan, B., & Ma J. (2011).  Networking in the Long Emergency. 37-42.
Moody, J., & Yarvin N.. (1992).  Networks with Learned Unit Response Functions. 4, 1048-1055.
Feldman, J. (2013).  The Neural Binding Problem(s). Cognitive Neurodynamics. 7(1), 1-11.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Neural Module Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 39-48.
Ke, T-W., Maire M., & Yu S. X. (2016).  Neural Multigrid.
Bourlard, H., Morgan N., & Renals S. (1992).  Neural nets and hidden Markov models: Review and Generalizations. 11(2-3), 237-246.
Feldman, J., & Shastri L. (1986).  Neural Nets, Routines and Semantic Networks.
Robinson, A.., Almeida L.., Boite J.., Bourlard H., Fallside F., Hochberg H.., et al. (1993).  A Neural Network Based, Speaker Independent, Large Vocabulary, Continuous Speech Recognition System: the Wernicke Project. Proceedings of the Third European Conference on Speech Communication and Technology (Eurospeech '93). 1941-1944.
Tresp, V., Moody J., & Delong W.. R. (1993).  Neural Network Modeling of Physiological Processes. 2, 363-378.
Ravuri, S., & Stolcke A. (2014).  Neural Network Models for Lexical Addressee Detection.
Liao, Y., & Moody J. (1996).  A Neural Network Visualization and Sensitivity Analysis Toolkit. Proceedings of the International Conference on Neural Information Processing. 1069-1074.
Feldman, J. (1990).  Neural Networks, Artificial Intelligence and Computational Reality. 14, 145-148.
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., & 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).
Morgan, N., & Bourlard H. (1995).  Neural Networks for Statistical Recognition of Continuous Speech. Proceedings of IEEE. 83(5), 742-770.
Liao, Y., Moody J., & Wu L. (2002).  Neural Networks for Time Series Analysis.
Feldman, J. (1989).  Neural Representations of Conceptual Knowledge.
Feldman, J. (1989).  Neural Representations of Conceptual Knowledge.

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