Publications

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G
Getoor L.  2000.  Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.
Getoor L.  2003.  Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.
Getoor L, Mihalkova L.  2011.  Learning statistical models from relational data. Proceedings of the 2011 international conference on Management of data. :1195-1198.
Getoor L, Friedman N, Koller D, Taskar B.  2001.  Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.
Getoor L.  2005.  Link-based classification. Advanced methods for knowledge discovery from complex data. :189-207.
Getoor L, Diehl CP.  2005.  Link mining: a survey. ACM SIGKDD Explorations Newsletter. 7(2):3-12.
Getoor L, Friedman N, Koller D.  2002.  Learning structured statistical models from relational data. Linköping Electronic Articles in Computer and Information Science. 7:13-13.
Getoor L.  2003.  Link mining: a new data mining challenge. ACM SIGKDD Explorations Newsletter. 5(1):84-89.
Getoor L, Licamele L.  2005.  Link Mining for the Semantic Web, Position Statement. Proceedings of the Dagstuhl Seminar in Machine Learning for the Semantic Web.
Gopalan R, Hong T, Shneier M, Chellappa R.  2010.  A Learning Approach Towards Detection and Tracking of Lane Markings. IEEE Transactions on Intelligent Transportation Systems. PP(99):1-12.
Grant J, Minker J.  2002.  A logic-based approach to data integration. Theory Pract. Log. Program.. 2(3):323-368.
Grant J, Kraus S, Perlis D.  2000.  A logic for characterizing multiple bounded agents. Autonomous Agents and Multi-Agent Systems. 3(4):351-387.
Grant J, Kraus S, Perlis D.  2005.  A logic-based model of intention formation and action for multi-agent subcontracting. Artificial Intelligence. 163(2):163-201.
Grant J, Gryz J, Minker J, Raschid L.  2000.  Logic-based query optimization for object databases. IEEE Transactions on Knowledge and Data Engineering. 12(4):529-547.
Groce A, Katz J, Yerukhimovich A.  2011.  Limits of computational differential privacy in the client/server setting. Theory of Cryptography. :417-431.
Grundstrom EL, Reggia JA.  1996.  Learning Activation Rules Rather Than Connection Weights. International journal of neural systems. 7(2):129-148.
Gruser JR, Raschid L, Zadorozhny V, Zhan T.  2000.  Learning response time for websources using query feedback and application in query optimization. The VLDB Journal—The International Journal on Very Large Data Bases. 9(1):18-37.
Guerra-Filho G, Aloimonos Y.  2007.  A Language for Human Action. Computer. 40(5):42-51.
Guo JK, Doermann D, Rosenfeld A.  1997.  Local correspondence for detecting random forgeries. Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on. 1:319-323vol.1-319-323vol.1.
Guo M, Mount SM.  1995.  Localization of Sequences Required for Size-specific Splicing of a SmallDrosophilaIntronin Vitro. Journal of Molecular Biology. 253(3):426-437.
H
Hicks MW, Foster JS, Pratikakis P.  2006.  Lock inference for atomic sections. Proceedings of the First ACM SIGPLAN Workshop on Languages, Compilers, and Hardware Support for Transactional Computing.
Horak MN, Nowick SM, Carlberg M, Vishkin U.  2011.  A Low-Overhead Asynchronous Interconnection Network for GALS Chip Multiprocessors. Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on. 30(4):494-507.
I
Ilghami O, Nau DS, Muñoz-Avila H, Aha DW.  2005.  Learning preconditions for planning from plan traces and HTN structure. Computational Intelligence. 21(4):388-413.
Ilghami O, Muñoz-Avila H, Nau DS, Aha DW.  2005.  Learning approximate preconditions for methods in hierarchical plans. :337-344.
Ilghami O, Nau DS, Munoz-Avila H.  2006.  Learning to do HTN planning. :390-393.

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