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L. K. McDowell and Aha, D. W. , Labels or attributes? Rethinking the neighbors for collective classification in sparsely-labeled networks, in International Conference on Information and Knowledge Management, San Francisco, CA, 2013.
F. Tamborello and Gregory Trafton, J. , A Long-Term Memory Competitive Process Model of a Common Procedural Error, Part II: Working Memory Load and Capacity, ICCM. ICCM, Ottawa, Canada, 2013.
B. Morris, Aha, D. W. , Auslander, B. , and Gupta, K. , Learning and leveraging context for maritime threat analysis: Vessel classification using Exemplar-SVM, Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, Washington, DC, 2012.
U. Jaidee, Muñoz-Avila, H. , and Aha, D. W. , Learning and Reusing Goal-Specific Policies for Goal-Driven Autonomy, Proceedings of the Twentieth International Conference on Case-Based Reasoning. Springer Berlin Heidelberg, Lyon, France, pp. 182-195, 2012.
M. Molineaux, Aha, D. W. , and Kuter, U. , Learning event models that explain anomalies, in Explanation-Aware Computing: Papers from the IJCAI Workshop, Barcelona Spain, 2011.
L. A. Breslow, Harrison, A. M. , and Trafton, J. G. , Linguistic Spatial Gestures. 2010.
D. A. Sofge and Whitman, J. S. , Long-range near-optimal path planning for gliders in complex high-energy environments, Proceedings of the IEEE Conference on Autonomous Underwater Vehicles. IEEE/OES, 2010.
W. G. Kennedy, Bugajska, M. D. , Harrison, A. M. , and Trafton, J. G. , "Like-Me" simulation as an effective and cognitively plausible basis for social robotics, International Journal of Social Robotics, vol. 1, pp. 181-194, 2009.
W. G. Kennedy and Trafton, J. G. , Long-term symbolic learning, Cognitive Systems Research, vol. 8, no. 3, pp. 237 - 247, 2007.
W. G. Kennedy and Trafton, J. G. , Long-Term Symbolic Learning in Soar and ACT-R, Seventh International Conference on Cognitive Modeling. Trieste, Italy, pp. 166-171, 2006.
J. J. Grefenstette, Ramsey, C. L. , and Schultz, A. C. , Learning Sequential Decision Rules Using Simulation Models and Competition, Machine Learning, vol. 5, pp. 355-381, 1990.