Publications

Found 4258 results
Author [ Title(Asc)] Type Year
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L
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Angluin, D., Hellerstein L., & Karpinski M. (1989).  Learning Read-Once Formulas with Queries.
Hellerstein, L., & Karpinski M. (1989).  Learning Read-Once Formulas Using Membership Queries.
Darken, C., Chang J.., & Moody J. (1992).  Learning Rate Schedules for Faster Stochastic Gradient Search. Neural Networks for Signal Processing.
Tajchman, G., Jurafsky D., & Fosler-Lussier E. (1995).  Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology. Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (ACL 1995). 1-5.
Owens, T., Saenko K., Chakrabarti A., Xiong Y., Zickler T., & Darrell T. (2011).  Learning Object Color Models from Multi- View Constraints.
Shi, J., Dong Y., Su H., & Yu S. X. (2016).  Learning Non-Lambertian Object Intrinsics across ShapeNet Categories.
Kwok, V.., Niu Z., Kay P., Zhou K., Mo L., Jin Z., et al. (2011).  Learning New Color Names Produces Rapid Increase in Gray Matter in the Intact Adult Human Cortex. 108(16), 6686-6688.
Kivinen, J. J., Sudderth E. B., & Jordan M. I. (2007).  Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes.
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.
Narihira, T., Maire M., & Yu S. X. (2015).  Learning Lightness from Human Judgement on Relative Reflectance.
Greenwald, A., Friedman E., & Shenker S. J. (2001).  Learning in Network Contexts: Experimental Results from Simulations. Games and Economic Behavior. 35(1), 80-123.
Satzger, B., & Kramer O. (2010).  Learning Heuristic Functions for State-Space Planing. Proceedings of the Fifth IASTED International Conference on Computational Intelligence (CI 2010).
Castelluccia, C., Duermuth M., & Imamoglu F. (2014).  Learning from Neuroscience to Improve Internet Security. ERCIM News. 99, 46.
Baraldi, A., & Borghese N. Alberto (1998).  Learning From Data: General Issues and Special Applications of Radial Basis Function Networks.
Stolcke, A. (1990).  Learning Feature-Based Semantics with Simple Recurrent Networks.
Chen, B. Y., Chang S., & Sivadas S. (2003).  Learning Discriminative Temporal Patterns in Speech: Development of Novel TRAPS-Like Classifiers. Proceedings of EUROSPEECH 2003.
Chen, B. Y. (2005).  Learning Discriminant Narrow-Band Temporal Patterns for Automatic Recognition of Conversational Telephone Speech.
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Schilling, M. (2011).  Learning by Seeing--Associative Learning of Visual Features Through Mental Simulation of Observed Action. 731-738.
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.
Barrett, L., & Narayanan S. (2008).  Learning All Optimal Policies with Multiple Criteria. 41-47.
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).
Feldman, J., & Rovner P. D. (1968).  The Leap Language and Data Structure. Proceedings of the International Federation of Information Processing Societies.

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