Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Abstract. As the disparity between processor and memory speed continues to widen, the exploitation of locality of reference in shared-memory multiprocessors becomes an increasingly...
We present a tool for checking the sufficient completeness of linear, order-sorted equational specifications modulo associativity, commutativity, and identity. Our tool treats this...
Abstract. In this article we present the framework of Possibilistic Influence Diagrams (PID), which allow to model in a compact form problems of sequential decision making under un...
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...