Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Today’s data integration systems must be flexible enough to support the typical iterative and incremental process of integration, and may need to scale to hundreds of data sour...
In this work we assume that there is an agent in an unknown environment (domain). This agent has some predefined actions and it can perceive its current state in the environment c...
This paper presents the advances in subgroup discovery and the ways to use subgroup discovery to generate actionable knowledge for decision support. Actionable knowledge is explici...
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...