A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Generic camera modeling using raxels and associated methods was recently introduced in Computer Vision. The main advantage is the applicability for any camera model, which contras...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
— In this paper we present an automated support for software model evolution using a formal language constructs. For this, we extended Object Constraint Language (OCL) with actio...