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Artificial Intelligence
Learning Personalized Query Modifications Erika E. Torres-Verdín, Manfred Huber
Learning Partially Observable Action Schemas Dafna Shahaf and Eyal Amir
Learning Partial-Order Macros from Solutions Adi Botea
Learning Partial Lexicographic Preference Trees over Combinatorial Domains
Learning Organization in Global Intelligence
Learning Optimal Chain Graphs with Answer Set Programming
Learning Ontologies from the Web for Microtext Processing
Learning of Coordination in Cooperative Multi-agent Systems Reinforcement Spiros Kapetanakis
LEARNING OBJECTIVES CHAPTER 7
Learning Objectives
Learning object boundary detection from motion data M.I.T. Artificial Intelligence Lab
Learning Multiple-Question Decision Trees for Cold-Start Recommendation
Learning Models of Other Agents Using Influence Diagrams
Learning Models from Temporal-Logic Properties via Explanations Miguel Carrillo
Learning mechanisms for “Conscious” Software Agents
Learning Measures of Progress for Planning Domains SungWook Yoon Alan Fern Robert Givan
Learning Lessons Intelligently in the Electric ... A. Martin Wildberger and Madeleine M. Gross
Learning Latent Variable Models by Improving
Learning Languages as “Culture” with CALL
Learning Language Semantics from Ambiguous Supervision Rohit J. Kate
Learning Landmarks for Robot Localization Robert Sim and Gregory Dudek
Learning Label Embeddings for Nearest-Neighbor Multi-
Learning intermediate goals and methods from situated
Learning Interactions Among Objects Through Spatio-Temporal Reasoning Mustafa Ersen and Sanem Sariel-Talay
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