We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
This paper describes the design and development of a flexible domain-based access control infrastructure for distributed Collaborative Environments. The paper proposes extensions ...
Yuri Demchenko, Cees de Laat, Leon Gommans, Ren&ea...
This paper presents a new model of agency, called the KGP (Knowledge, Goals and Plan) model. This draws from the classic BDI model and proposes a hierarchical agent architecture wi...
Antonis C. Kakas, Paolo Mancarella, Fariba Sadri, ...