Publications

Found 166 results
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G
Greenwald, A., Friedman E., & Shenker S. J. (2001).  Learning in Network Contexts: Experimental Results from Simulations. Games and Economic Behavior. 35(1), 80-123.
Greenberg, S., & Chang S. (2000).  Linguistic Dissection of Switchboard-Corpus Automatic Speech Recognition Systems. Proceedings of the ISCA Workshop on Automatic Speech Recognition: Challenges for the New Millennium.
Goga, O., Perito D., Lei H., Teixeira R., & Sommer R. (2013).  Large-scale Correlation of Accounts Across Social Networks.
P. Godfrey, B., Karp R. M., Lakshminarayanan K., Surana S., & Stoica I. (2004).  Load Balancing in Dynamic Structured P2P Systems. Proceedings of INFOCOMM.
P. Godfrey, B., Karp R. M., Lakshminarayanan K., Surana S., & Stoica I. (2004).  Load Balancing in Dynamic Structured P2P Systems. Proceedings of INFOCOMM.
Gilardi, L., & Baker C. F. (2018).  Learning to Align across Languages: Toward Multilingual FrameNet.
F
Friedland, G., & Vinyals O. (2008).  Live Speaker Identification in Conversations. 1017-1018.
Freivalds, R., & Karpinski M. (1994).  Lower Space Bounds for Randomized Computation.
Franklin, A., Drivonikou V. G., Clifford A., Kay P., Regier T., & Davies I. R. L. (2008).  Lateralization of Categorical Perception of Color Changes with Color Term Acquisition. 105(47), 18221-18225.
Floyd, S., & Jacobson V. (1995).  Link-sharing and Resource Management Models for Packet Networks. IEEE/ACM Transactions on Networking. 3(4), 365-386.
Finn, C., Tan X. Yu, Duan Y., Darrell T., Levine S., & Abbeel P. (2015).  Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders. arXiv.
Fillmore, C. J. (1994).  Lexicography and Ethnographic Semantics. 27-48.
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Feldman, J., & Ellis C. S. (1982).  Language Constructs and Support Systems for Distributed Computing.
Feldman, J., Lakoff G.., Bailey D. R., Narayanan S., Regier T., & Stolcke A. (1996).  L0 - The First Five Years of an Automated Language Acquisition Project. 10(1-2), 103-129.
Feldman, J., & Ellis C. S. (1982).  Language Constructs and Support Systems for Distributed Computing. Proceedings of Distributed Computing Symposium.
Feldman, J., & Rovner P. D. (1968).  The Leap Language and Data Structure. Proceedings of the International Federation of Information Processing Societies.
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).
Feldman, J. (2019).  Language, Stapp, and the Mind/Body/World Problem. Activitas Nervosa Superior. 98–101.
Feldman, J., & Rovner P. D. (1966).  The Leap Language and Data Structure.
Feldman, J., & Porat S. (1988).  Learning Automata from Ordered Examples. Proceedings of the COLT Conference.
Fayazbakhsh, S. Kaveh, Lin Y., Tootoonchian A., Ghodsi A., Koponen T., Maggs B. M., et al. (2013).  Less Pain, Most of the Gain: Incrementally Deployable ICN. 147-158.
E
etin, Ö. Ç., & Stolcke A. (2005).  Language Modeling in the ICSI-SRI Spring 2005 Meeting Speech Recognition Evaluation System.
Eskin, E., Halperin E., & Karp R. M. (2003).  Large Scale Reconstruction of Haplotypes from Genotype Data. Proceedings of the Seventh Conference on Research in Computational Biology (RECOMB).

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