This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions ...
An architecture for action selection is presented linking emotion, cognition and behavior. It defines the information and emotion processes of an agent. The architecture has been...
Gertjan J. Burghouts, Dirk Heylen, Mannes Poel, Ri...
Data mining is the process of extracting implicit, previously unknown, and potentially useful information from data in databases. It is widely recognized as a useful tool for deci...
James P. Buckley, Jennifer Seitzer, Yongzhi Zhang,...
We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
This paper presents new technique for discovering temporal patterns when considered primitives are intervals. Apriori technique is the most used one to deal with temporal patterns...
This paper addresses the problem of improving the representation space in a rule-based intelligent system, through exception-based learning. Such a system generally learns rules c...
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, Dori...
Hybrid logic nets contain nodes that exhibit recurrent characteristics, in that a node output shows temporal tendencies even when the inputs are constant (Al-Dabass et al. 1999a a...
David Al-Dabass, David J. Evans, Siva Sivayoganath...
This paper deals with the problem of merging descriptions of approximate spatial location specified at different levels of granularity. We distinguish between the roughness of an...