Correcting and extending domain knowledge using outside guidance
Proceedings of the seventh international conference (1990) on Machine learning
Acquisition of dynamic control knowledge for a robotic manipulator
Proceedings of the seventh international conference (1990) on Machine learning
Proceedings of the sixth international workshop on Machine learning
Concept formation knowledge and experience in unsupervised learning
Concept formation knowledge and experience in unsupervised learning
Learning to recognize movements
Concept formation knowledge and experience in unsupervised learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Boundaries of Visual Motion
An experimental study of concept formation
An experimental study of concept formation
Continuous categories for a mobile robot
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Unsupervised Learning of Probabilistic Concept Hierarchies
Machine Learning and Its Applications, Advanced Lectures
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We present a representational format for observed movements The representation has a temporal structure relating components of a single complex movement. We also present OXBOW, an unsupervised learning system, which constructs classes of these movements. Empirical results indicate that the system builds abstract movement concepts with appropriate component structure allowing it to predict the latter portions of a partially observed movement.