Watch what I do: programming by demonstration
Watch what I do: programming by demonstration
CLIP: concept learning from inference patterns
Artificial Intelligence - Special issue: AI research in Japan
Adaptive Web sites: automatically synthesizing Web pages
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Acquisition of abstract plan descriptions for plan recognition
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
Machine Learning in User Modeling
Machine Learning and Its Applications, Advanced Lectures
Recognition of User Intentions for Interface Agents with Variable Order Markov Models
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Sequence classification using statistical pattern recognition
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
Removing statistical biases in unsupervised sequence learning
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Modeling sequences of user actions for statistical goal recognition
User Modeling and User-Adapted Interaction
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Plan libraries are the most important knowledge source of many plan recognition systems. The plan decompositions they contain provide information about how a plan has to be executed to actually achieve its associated goals and be recognized by the system. This paper presents an approach to the automatic acquisition of plan decompositions from sample action sequences. In particular a clustering algorithm is introduced that allows groups of "similar" sequences to be discovered and used for the generation of plan libraries. Empirical tests indicate that these libraries can indeed be successfully used for plan recognition purposes.