Background: MapReduce is a parallel framework that has been used effectively to design largescale parallel applications for large computing clusters. In this paper, we evaluate th...
The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
This paper presents an efficient approach to generate tests for gate delay faults. Unlike other known algorithms which try to generate a 'good' delay test the presented ...
Voice recognition technologies are rapidly evolving to help humans interact with computers more efficiently and effectively. Despite their potential advantages, their impact on sy...
Jay J. H. Jung, Clayton A. Looney, Joseph S. Valac...