In the previous, companion, paper [13] to this paper we introduced our general model of refinement, discussed ideas around determinism and interfaces that the general definition r...
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Detecting symmetries has many applications in logic synthesis that include, amongst other things, technology mapping, deciding equivalence of Boolean functions when the input corre...
: In this paper, we study the parameter estimation problem in a general heteroscedastic linear system, by putting the problem in the framework of the bilinear approach to low-rank ...
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...