We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
If one has attributed certain initial beliefs to an agent, it is sometimes possible to reason about further beliefs the agent must hold by observing what conclusions one's ow...
CAD tool interoperability issues are a recurring impediment to constructing a design methodology, especially if the methodology incorporates point tools from several vendors. Failu...
Mike Murray, Uwe B. Meding, Bill Berg, Yatin Trive...
In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...
Abdullah Almaksour, Eric Anquetil, Solen Quiniou, ...
In this paper we consider the problem of using disk blocks efficiently in searching graphs that are too large to fit in internal memory. Our model allows a vertex to be represented...
Mark H. Nodine, Michael T. Goodrich, Jeffrey Scott...