Publications

Found 4258 results
Author Title [ Type(Asc)] Year
Journal Article
Floyd, S., & Jacobson V. (1995).  Link-sharing and Resource Management Models for Packet Networks. IEEE/ACM Transactions on Networking. 3(4), 365-386.
Crawford, L.. E., Regier T., & Huttenlocher J.. (2000).  Linguistic and Non-Linguistic Spatial Categorization. Cognition. 75(3), 209-235.
Zhang, Y., & Shapiro V. (2018).  Linear-Time Thermal Simulation of As-Manufactured Fused Deposition Modeling Components. Journal of Manufacturing Science and Engineering. 140(7), 
Karp, R. M., & Papadimitriou C. H. (1982).  On Linear Characterizations of Combinatorial Optimization Problems. SIAM Journal on Computing. 11(4), 620-632.
Atkins, B.. T. S., Fillmore C. J., & Johnson C. R. (2003).  Lexicographic Relevance: Selecting Information From Corpus Evidence. International Journal of Lexicography. 251-280.
Zaitlen, N., Kang H. Min, Eskin E., & Halperin E. (2007).  Leveraging the HapMap Correlation Structure in Association Studies. American Journal of Human Genetics. 80, 683-691.
Zaitlen, N., Pasaniuc B., Gur T., Ziv E., & Halperin E. (2010).  Leveraging Genetic Variability Across Populations for the Identification of Causal Variants. The American Journal of Human Genetics. 86(1), 23-33.
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.
Moody, J., & Saffell M. (2001).  Learning to Trade via Direct Reinforcement. IEEE Transactions on Neural Networks. 12(4), 
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
Song, H. Oh, Fritz M., Goehring D., & Darrell T. (2016).  Learning to Detect Visual Grasp Affordance. IEEE Transactions on Automation Science and Engineering. 13(2), 798-809.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
Regier, T., & Gahl S. (2004).  Learning the Unlearnable: The Role of Missing Evidence. Cognition. 93(2), 147-155.
Darken, C., Chang J.., & Moody J. (1992).  Learning Rate Schedules for Faster Stochastic Gradient Search. Neural Networks for Signal Processing.
Greenwald, A., Friedman E., & Shenker S. J. (2001).  Learning in Network Contexts: Experimental Results from Simulations. Games and Economic Behavior. 35(1), 80-123.
Castelluccia, C., Duermuth M., & Imamoglu F. (2014).  Learning from Neuroscience to Improve Internet Security. ERCIM News. 99, 46.
Aziz-Zadeh, L., Koski L.., Zaidel E., Mazziotta J.., & Iacoboni M. (2006).  Lateralization of the Human Mirror Neuron System. Journal of Neuroscience. 26(11), 2964-2970.
Schulz, P., Matthé M., Klessig H., Simsek M., Fettweis G., Ansari J., et al. (2017).  Latency Critical IoT Applications in 5G: Perspective on the Design of Radio Interface and Network Architecture. IEEE Communications Magazine. 55(2), 
Li, F.., & Paxson V. (2018).   A Large-Scale Empirical Study of Security Patches. USENIX ;login:. 43(1), 
Ouyang, T., Ray S., Allman M., & Rabinovich M. (2014).  A Large-Scale Empirical Analysis of Email Spam Detection Through Network Characteristics in a Stand-Alone Enterprise. Computer Networks. 59, 101-121.
Consortium, T. C. A. R. D. IoG. R. A. M. (2011).  Large-scale Association Analysis Identifies 13 New Susceptibility Loci for Coronary Artery Disease. Nature Genetics. 43(4), 333-338.
Hoffman, J., Pathak D., Tzeng E., Long J., Guadarrama S., Darrell T., et al. (2016).  Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res.. 17, 4954–4984.
Regier, T., & Kay P. (2009).  Language, Thought, and Color: Whorf Was Half Right. Trends in Cognitive Science. 13(10), 439-446.
Kay, P., & Regier T. (2006).  Language, Thought, and Color: Recent Developments. Trends in Cognitive Sciences. 10(2), 51-54.
Feldman, J. (2019).  Language, Stapp, and the Mind/Body/World Problem. Activitas Nervosa Superior. 98–101.

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