Publications

Found 4113 results
Author [ Title(Asc)] Type Year
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A
Kirkpatrick, B., Finucane H., Reshef Y., & Karp R. M. (2010).  Algorithms for Comparing Pedigree Graphs.
Karp, R. M. (1980).  An Algorithm to Solve the m*n Assignment Problem in Expected Time O(mn log n)*. 10(2), 143-152.
Bshouty, N. H., Hancock T. R., Hellerstein L., & Karpinski M. (1993).  An Algorithm to Learn Read-Once Threshold Formulas, and Some Generic Transformations Between Learning Models (Revised Version).
Radoslavov, P., & Tokuda T.. (1997).  An Algorithm for Cost-Delay Balanced Trees and Its Application to Wide Area Network Multicast. Proceedings of the First International Conference on Worldwide Computing and Its Applications.
Feldman, J., & Rovner P. D. (1968).  An ALGOL-based Associative Language.
Feldman, J., & Rovner P. D. (1971).  An ALGOL-based Associative Language.
Feldman, J., & Rovner P. D. (1969).  An ALGOL-based Associative Language. Communications of the ACM. 12(8), 439-449.
Blum, L., Cucker F., Shub M., & Smale S. (1996).  Algebraic Settings for the Problem.
Guesgen, H. Werner, & Ladkin P. (1990).  An Algebraic Approach to General Boolean Constraint Problems.
Feldman, J., Finkel R. A., Taylor R. H., Bolles R. C., & Paul R. P. (1974).  AL, A Programming System for Automation.
Metere, A. (2019).  AI will never conquer humanity. It’s too rational. Cosmos Magazine.
Rosenfeld, A.., Feldman J., Kanal L.. N., & Winston P.. H. (1977).  AI and Pattern Recognition.
Mahajan, R., Bellovin S. M., Floyd S., Ioannidis J., Paxson V., & Shenker S. (2002).  Aggregate Congestion Control. ACM SIGCOMM Computer Communication Review. 32(1), 69.
Thaler, D., & Handley M. (2000).  On the Aggregatability of Multicast Forwarding State. Proceedings of Infocom 2000.
Feigenbaum, J., Nisan N., Ramachandran V., Sami R., & Shenker S. (2002).  Agents' Privacy In Distributed Algorithmic Mechanisms (Position Paper).
Feldman, J., & Narayanan S. (2014).  Affordances, Actionability, and Simulation.
Maire, M., Narihira T., & Yu S. X. (2016).  Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Hwang, J-J., Ke T-W., Shi J., & Yu S. X. (2019).  Adversarial Structure Matching for Structured Prediction Tasks. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
Donahue, J., Krahenbuhl P., & Darrell T. (2016).  Adversarial Feature Learning. CoRR. abs/1605.09782,
Miller, B., Kantchelian A., Afroz S., Bachwani R., Dauber E., Huang L., et al. (2014).  Adversarial Active Learning. Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop (AISec '14). 3–14.
Eddy, W. M., & Allman M. (2000).  Advantages of Parallel Processing and the Effects of Communications Time.
Feldman, J. (2011).  Advancing Embodied Theories of Language.
Shastri, L. (1998).  Advances in SHRUTI: A neurally motivated model of relational knowledge representation and rapid inference using temporal synchrony..
Shastri, L. (1999).  Advances in Shruti - A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal Synchrony. Applied Intelligence. 11(1), 79-108.
[Anonymous] (1992).  Advances in Neural Information Processing Systems 4. (Moody, J., Hanson S.., & Lippmann R.., Ed.).

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