Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
—“God class” is a term used to describe a certain type of large classes which “know too much or do too much”. Often a God class (GC) is created by accident as functionali...
We propose a Java-like language where class denitions are rst class values, hence new classes can be derived from existing, rather than by a xed mechanism like inheritance, by e...
For a large class of switched systems with zeno phenomenon, classical observer cannot be applied directly since the terms leading to zeno phenomenon are not derivable. However in t...
Gang Zheng, Lei Yu, Driss Boutat, Jean-Pierre Barb...
Motivated by issues in machine learning and statistical pattern classification, we investigate a class cover problem (CCP) with an associated family of directed graphs--class cove...