The complexity of hardware/software codesign of embedded real-time signal processing systems can be reduced by rapid system prototyping (RSP). However, existing RSP frameworks do n...
Randall S. Janka, Linda M. Wills, Lewis B. Baumsta...
The Semantic Web is a new layer of the Internet that enables semantic representation of the contents of existing web pages. Using common ontologies, human users sketch out the mos...
Christian Fillies, Gay Wood-Albrecht, Frauke Weich...
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Studying the learnability of classes of recursive functions has attracted considerable interest for at least four decades. Starting with Gold's (1967) model of learning in th...