Publications

Found 1105 results
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A
Thom, A.., & Kramer O. (2010).  Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations. 195-202.
Andersen, D. G., Balakrishnan H., Feamster N., Koponen T., Moon D., & Shenker S. (2008).  Accountable Internet Protocol (AIP). 339-350.
Scott, J., & Karp R. M. (2004).  Achieving Fairness Through Selective Early Dropping.
Kääriäinen, M. (2005).  On Active Learning in the Non-Realizable Case. Proceedings of the Foundations of Active Learning Workshop at the 19th Annual Conference on Neural Information Processing Systems (NIPS).
Monteleoni, C.., & Kääriäinen M. (2005).  Active Learning Under Arbitrary Distributions.
Heo, S., Krashinsky R., & Asanović K. (2007).  Activity-Sensitive Flip-Flop and Latch Selection for Reduced Energy. IEEE Transactions on VLSI Systems. 15(9), 1060-1064.
Thomas, K., Bursztein E., Jagpal N., Rajab M. Abu, Provos N., Pearce P., et al. (2015).  Ad Injection at Scale: Assessing Deceptive Advertisement Modifications.
Saenko, K., Kulis B., Fritz M., & Darrell T. (2010).  Adapting Visual Category Models to New Domains. 213-226.
Satzger, B., Kramer O., & Lässig J. (2010).  Adaptive Heuristic Estimates for Automated Planning Using Regression. 576-581.
Nithyanand, R., Khattak S., Javed M., Vallina-Rodriguez N., Falahrastegar M., Powles J. E., et al. (2016).  Adblocking and Counter-Blocking: A Slice of the Arms Race. Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet (FOCI '16).
Fritz, M., Black M., Bradski G., Karayev S., & Darrell T. (2009).  An Additive Latent Feature Model for Transparent Object Recognition.
Renals, S., Morgan N., Bourlard H., Cohen M., Franco H., Wooters C., et al. (1991).  Advances in Connectionist Speech Recognition.
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.
Donahue, J., Krahenbuhl P., & Darrell T. (2016).  Adversarial Feature Learning. CoRR. abs/1605.09782,
Rosenfeld, A.., Feldman J., Kanal L.. N., & Winston P.. H. (1977).  AI and Pattern Recognition.
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).
Karp, R. M. (1980).  An Algorithm to Solve the m*n Assignment Problem in Expected Time O(mn log n)*. 10(2), 143-152.
Kirkpatrick, B., Finucane H., Reshef Y., & Karp R. M. (2010).  Algorithms for Comparing Pedigree Graphs.
Kirkpatrick, B., Finucane H., Reshef Y., & Karp R. M. (2010).  Algorithms for Comparing Pedigree Graphs.
Condon, A., & Karp R. M. (1999).  Algorithms for Graph Partitioning on the Planted Partition Model. (Randomization, Approximation, and Combinatorial Optimization. Algorithms and Techniques.). 221-232.
Chandrasekaran, K.., Karp R. M., Moreno-Centeno E.., & Vempala S.. (2011).  Algorithms for Implicit Hitting Set Problems. 614-629.
Karp, R. M., & Shamir R. (1998).  Algorithms for Optical Mapping. Proceedings of the Second Annual International Conference on Computational Molecular Biology. 117-124.
Karp, R. M., & Shamir R. (2000).  Algorithms for Optical Mapping.
Grigoriev, D. Yu., & Karpinski M. (1991).  Algorithms for Sparse Rational Interpolation.

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