Abstract. Mutual information (MI) is a common criterion in independent component analysis (ICA) optimization. MI is derived from probability density functions (PDF). There are scen...
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechn...
In this paper, a new heuristic-based approach is introduced to extract minimally unsatisfiable subformulas (in short, MUSes) of SAT instances. It is shown that it often outperforms...
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...
We extend our previous work on Multilinear Independent Component Analysis (MICA) by introducing a Fast-MICA algorithm that demonstrates the same improvement over classical ICA as ...
Jointly deployed aspects may interact with each other. While some interactions might be intended, unintended interactions (interferences) can break a program. Detecting and resolv...