This is foremost a methodological contribution. It focuses on the foundation of anticipation and the pertinent implications that anticipation has on learning (theory and experiment...
This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, suc...
We are concerned about a view in undergraduate computer science education, especially in the early courses, that it’s okay to be math-phobic and still prepare oneself to become ...
Charles Kelemen, Allen B. Tucker, Peter Henderson,...
We describe a computational system which parses discourses consisting of sequences of simple sentences. These contain a range of temporal constructions, including time adverbials,...
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...