Publications

Found 4258 results
Author [ Title(Desc)] Type Year
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Kay, P., Regier T., Gilbert A. L., & Ivry R. B. (2009).  Lateralized Whorf: Language Influences Perceptual Decision in the Right Visual Field. 261-284.
Feldman, J., & Baily D.. (1998).  Layered hybrid connectionist models for cognitive science. Proceedings of the International NIPS Workshop on Hybrid Neural Symbolic Integration (NIPS 98).
Bailey, D. R., & Feldman J. (2000).  Layered Hybrid Models for Cognitive Science. 14-27.
Balakrishnan, H., Lakshminarayanan K., Ratnasamy S., Shenker S. J., Stoica I., & Walfish M. (2004).  A Layered Naming Architecture for the Internet. Proceedings of ACM Special Interest Group on Data Communications Conference (SIGCOMM 2004). 343-352.
Kim, Y-J., Govindan R., Karp B., & Shenker S. J. (2006).  Lazy Cross-Link Removal for Geographic Routing. Proceedings of the 4th International Conference on Embedded Networked Sensor Systems (SenSys '06). 112-124.
Celikyilmaz, A., Hakkani-Tür D., & Tur G. (2010).  LDA Based Similarity Modeling for Question Answering. 1-9.
Feldman, J., & Rovner P. D. (1968).  The Leap Language and Data Structure. Proceedings of the International Federation of Information Processing Societies.
Rovner, P. D., & Feldman J. (1968).  The LEAP language and data structure. 1, 579-585.
Feldman, J., & Rovner P. D. (1966).  The Leap Language and Data Structure.
Petrov, S., Barrett L., Thibaux R., & Klein D. (2006).  Learning Accurate, Compact, and Interpretable Tree Annotation. Proceedings of the 44th Annual Meeting of the Association of Computational Linguistics (ACL).
Barrett, L., & Narayanan S. (2008).  Learning All Optimal Policies with Multiple Criteria. 41-47.
Porat, S., & Feldman J. (1991).  Learning Automata from Ordered Examples. 7, 109-138.
Feldman, J., & Porat S. (1988).  Learning Automata from Ordered Examples. Proceedings of the COLT Conference.
Schilling, M. (2011).  Learning by Seeing--Associative Learning of Visual Features Through Mental Simulation of Observed Action. 731-738.
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Chen, B. Y. (2005).  Learning Discriminant Narrow-Band Temporal Patterns for Automatic Recognition of Conversational Telephone Speech.
Chen, B. Y., Chang S., & Sivadas S. (2003).  Learning Discriminative Temporal Patterns in Speech: Development of Novel TRAPS-Like Classifiers. Proceedings of EUROSPEECH 2003.
Stolcke, A. (1990).  Learning Feature-Based Semantics with Simple Recurrent Networks.
Baraldi, A., & Borghese N. Alberto (1998).  Learning From Data: General Issues and Special Applications of Radial Basis Function Networks.
Castelluccia, C., Duermuth M., & Imamoglu F. (2014).  Learning from Neuroscience to Improve Internet Security. ERCIM News. 99, 46.
Satzger, B., & Kramer O. (2010).  Learning Heuristic Functions for State-Space Planing. Proceedings of the Fifth IASTED International Conference on Computational Intelligence (CI 2010).
Greenwald, A., Friedman E., & Shenker S. J. (2001).  Learning in Network Contexts: Experimental Results from Simulations. Games and Economic Behavior. 35(1), 80-123.
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Chen, B. Y., Zhu Q., & Morgan N. (2004).  Learning Long-Term Temporal Features in LVCSR Using Neural Networks. Proceedings of International Conference on Spoken Language Processing.
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.

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