The increasing numbers of cores, shared caches and memory nodes within machines introduces a complex hardware topology. High-performance computing applications now have to carefull...
This paper presents an investigation into local mechanisms and scheduling policies that allow guest processes to efficiently exploit otherwise-idle workstation resources. Unlike t...
Kyung Dong Ryu, Jeffrey K. Hollingsworth, Peter J....
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
In the present paper, we present the theoretical basis, as well as an empirical validation, of a protocol designed to obtain effective VC dimension estimations in the case of a si...