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Proceedings of the seventh international conference (1990) on Machine learning
The formation and use of abstract concepts in design
Concept formation knowledge and experience in unsupervised learning
Acquiring search heuristics automatically for constraint-based planning and scheduling
Proceedings of the first international conference on Artificial intelligence planning systems
Derivational Analogy in PRODIGY: Automating Case Acquisition, Storage, and Utilization
Machine Learning - Special issue on case-based reasoning
Learning to explore and build maps
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Elements of machine learning
Applications of machine learning and rule induction
Communications of the ACM
Machine Learning Methods for Planning
Machine Learning Methods for Planning
Applying Case-Based Reasoning to Autoclave Loading
IEEE Expert: Intelligent Systems and Their Applications
A Machine-Learning Apprentice for the Completion of Repetitive Forms
IEEE Expert: Intelligent Systems and Their Applications
Learning Sequential Decision Rules Using Simulation Models and Competition
Machine Learning - Special issue on genetic algorithms
Theory Change via View Application in Instructionless Learning
Machine Learning
Learning to Predict by the Methods of Temporal Differences
Machine Learning
A Heuristic Approach to the Discovery of Macro-Operators
Machine Learning
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Inducing Probabilistic Grammars by Bayesian Model Merging
ICGI '94 Proceedings of the Second International Colloquium on Grammatical Inference and Applications
Acquisition of a lexicon from semantic representations of sentences
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Software agents: completing patterns and constructing user interfaces
Journal of Artificial Intelligence Research
A reinforcement learning approach to job-shop scheduling
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Learning to parse database queries using inductive logic programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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Recent research in machine learning has focused on supervised induction for simple classification and reinforcement learning for simple reactive behaviors. In the process, the field has become disconnected from AI's original goal of creating complete intelligent agents. In this paper, I review recent work on machine learning for planning, language, vision, and other topics that runs counter to this trend and thus holds interest for the broader AI research community. I also suggest some steps to encourage further research along these lines.