The main task in decision tree construction algorithms is to find the "best partition" of the set of objects. In this paper, we investigate the problem of optimal binary ...
This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
The areas of On-Line Algorithms and Machine Learning are both concerned with problems of making decisions about the present based only on knowledge of the past. Although these area...
Interactive configurators are decision support systems assisting users in selecting values for parameters that respect given constraints. The underlying knowledge can be convenien...
The classical solving approach for two-level logic minimisation reduces the problem to a special case of unate covering and attacks the latter with a (possibly limited) branch-and...