Publications

Grundstrom EL, Reggia JA. 1996. Learning Activation Rules Rather Than Connection Weights. International journal of neural systems. 7(2):129-148.

Doppa J, Yu J, Tadepalli P, Getoor L. 2010. Learning algorithms for link prediction based on chance constraints. Machine Learning and Knowledge Discovery in Databases. :344-360.

Wagstaff K, desJardins M, Eaton E, Montminy J. 2007. Learning and visualizing user preferences over sets. American Association for Artificial Intelligence (AAAI).

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.

Cho S, Reggia JA. 1993. Learning competition and cooperation. Neural computation. 5(2):242-259.

MacArthur CA, Shneiderman B. 1986. Learning Disabled Students' Difficulties in Learning to Use A Word Processor: Implications for Instruction and Software Evaluation. Journal of Learning DisabilitiesJ Learn Disabil. 19(4):248-253.

MacArthur CA, Shneiderman B. 1986. Learning disabled students' difficulties in learning to use a word processor: implications for design. ACM SIGCHI Bulletin. 17(3):41-46.

Aloimonos Y, Shulman D. 1989. Learning early-vision computations. JOSA A. 6(6):908-919.

Ramanathan N, Chellappa R. 2009. Learning Facial Aging Models: A Face Recognition Perspective. Biometrics: theory, methods, and applications. 9:271-271.

Selby RW, Porter A. 1988. Learning from examples: generation and evaluation of decision trees for software resource analysis. IEEE Transactions on Software Engineering. 14(12):1743-1757.

Lin Z, Davis LS. 2008. Learning pairwise dissimilarity profiles for appearance recognition in visual surveillance. Advances in Visual Computing. :23-34.

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.

Getoor L, Friedman N, Koller D, Taskar B. 2001. Learning probabilistic models of relational structure. MACHINE LEARNING-INTERNATIONAL WORKSHOP. :170-177.

Friedman N, Getoor L, Koller D, Pfeffer A. 1999. Learning probabilistic relational models. International Joint Conference on Artificial Intelligence. 16:1300-1309.

Getoor L. 2000. Learning probabilistic relational models. Abstraction, Reformulation, and Approximation. :322-323.

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.

Aloimonos Y, Shulman D. 1987. Learning shape computations. Proc. DARPA Image.

Getoor L. 2003. Learning Structure From Statistical Models. IEEE Data Engineering Bulletin. 26(3):11-18.

desJardins M, Rathod P, Getoor L. 2008. LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES. Computational Intelligence. 24(1):1-22.

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.

Sato T, Kameya Y, De Raedt L, Dietterich T, Getoor L, Muggleton SH. 2006. Learning through failure. Probabilistic, Logical and Relational Learning-Towards a Synthesis. (05051)

Ahmed Syed N, Feamster N, Gray A. 2008. Learning To Predict Bad Behavior. NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security.

Mihalkova L, Moustafa W, Getoor L. 2011. Learning to predict web collaborations. Workshop on User Modeling for Web Applications (UMWA-11).

Smith M, desJardins M. 2009. Learning to trust in the competence and commitment of agents. Autonomous Agents and Multi-Agent Systems. 18(1):36-82.

Jain A, Gupta A, Davis LS. 2010. Learning what and how of contextual models for scene labeling. Computer Vision–ECCV 2010. :199-212.

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Publications