The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Because data races represent a hard-to-manage class of errors in concurrent programs, numerous approaches to detect them have been proposed and evaluated. We specifically consider...
Paruj Ratanaworabhan, Martin Burtscher, Darko Kiro...
Transactional memory (TM) eliminates many problems associated with lock-based synchronization. Over recent years, much progress has been made in software and hardware implementati...
Tatiana Shpeisman, Ali-Reza Adl-Tabatabai, Robert ...
Transactional memories are typically speculative and rely on contention managers to cure conflicts. This paper explores a complementary approach that prevents conflicts by schedul...
Aleksandar Dragojevic, Rachid Guerraoui, Anmol V. ...
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...