Publications

Found 4228 results
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
M
Moody, J., & Saffell M. (1998).  Reinforcement Learning for Trading: Immediate vs. Future Rewards. Knowledge Discovery and Datamining, Proceedings of the 1998 New York Conference.
Moody, J., & Wu L. (1995).  Statistical Analysis of Tick-by-tick Foreign Exchange Data. Proceedings of the High Frequency Data in Finance Conference.
Moody, J. (1994).  Prediction Risk and Neural Network Architecture Selection.
Moon, D., Casado M., Koponen T., & Shenker S. J. (2008).  Rethinking Packet Forwarding Hardware. 1-6.
Moore, D., Paxson V., Savage S., Shannon C., Staniford S., & Weaver N. (2003).  The Spread of the Sapphire/Slammer Worm.
Moore, D., Paxson V., Savage S., Shannon C., Staniford S., & Weaver N. (2003).  Inside the Slammer Worm. IEEE Magazine of Security and Privacy. 1(4), 33-39.
Moran, M., & Wolfinger B. (1992).  Design of a Continuous Media Data Transport Service and Protocol.
Moretto, P. (1995).  Mapping of Speech Front-End Signal Processing to High Performance Vector Architectures.
Morgan, N., Bourlard H., & Hermansky H. (2004).  Speech Recognition and the Auditory Perspective.
Morgan, N., & Hermansky H. (1992).  RASTA Extensions: Robustness to Additive and Convolutional Noise. Proceedings of the Workshop on Speech Processing in Adverse Conditions. 115-118.
Morgan, N., & Bourlard H. (1995).  Neural Networks for Statistical Recognition of Continuous Speech. Proceedings of IEEE. 83(5), 742-770.
Morgan, N., Ellis D. P. W., Fosler-Lussier E., Janin A., & Kingsbury B. (1999).  Reducing Errors by Increasing the Error Rate: MLP Acoustic Modeling for Broadcast News Transcription. Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop.
Morgan, N., & Bourlard H. (1995).  An Introduction to Hybrid HMM/Connectionist Continuous Speech Recognition. IEEE Signal Processing Magazine. 25-42.
Morgan, N. (2012).  Deep and Wide: Multiple Layers in Automatic Speech Recognition. IEEE Transactions on Audio. 20(1), 7-13.
Morgan, N., Chen B. Y., Zhu Q., & Stolcke A. (2004).  Scaling Up: Learning Large-Scale Recognition Methods from Small-Scale Recognition Tasks. Special Workshop in Maui(SWIM).
Morgan, N., & Bourlard H. (1992).  Factoring Networks by a Statistical Method. Neural Computation. 835-838.
Morgan, N. (2002).  What's New in Government-Sponsored Speech Recognition Research. Speech Technology Magazine. 7,
Morgan, N. (1999).  Temporal Signal Processing for ASR. Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding. 9-16.
Morgan, N., & Bourlard H. (1989).  Generalization and Parameter Estimation in Feedforward Nets: Some.
Morgan, N., Tajchman G., Mirghafori N., Konig Y., & Wooters C. (1994).  Scaling a Hybrid HMM/MLP System for Large Vocabulary CSR. 123-124.
Morgan, N., Hermansky H., & Wooters C. (1990).  SPOONS '90: The SPeech recOgnition frOnt eNd workShop.
Morgan, N., Fosler-Lussier E., & Mirghafori N. (1997).  Speech Recognition Using On-line Estimation of Speaking Rate. Proceedings of the Fifth European Conference on Speech Communication and Technology (Eurospeech '97). 4, 2079-2082.
Morgan, N. (2011).  Deep and Wide: Multiple Layers in Automatic Speech Recognition.
Morgan, N., Konig Y., Wu S-L., & Bourlard H. (1995).  Transition-Based Statistical Training for ASR. IEEE Snowbird Workshop '95.
Morgan, N. (1994).  Big Dumb Neural Nets: A Working Brute Force Approach to Speech Recognition. Proceedings of the International Conference on Neural Networks. VII, 4462-4465.

Pages