We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
OWL DL, being established by W3C, is a Knowledge Representation Markup Language for the Semantic Web. OWL DL is a new synthesis of research on KRML for the Semantic Web, which nee...
We describe in this paper a new method for extracting knowledge on Hierarchical Task-Network (HTN) planning problems for speeding up the search. This knowledge is gathered by prop...
Most previous logical accounts of goals do not deal with prioritized goals and goal dynamics properly. Many are restricted to achievement goals. In this paper, we develop a logica...
This paper presents an object categorization method. Our approach involves the following aspects of cognitive vision : machine learning and knowledge representation. A major eleme...