Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
We present a fast local search algorithm that finds an improved solution (if there is any) in the k-exchange neighborhood of the given solution to an instance of WEIGHTED FEEDBACK...
Fedor V. Fomin, Daniel Lokshtanov, Venkatesh Raman...
We study various optimization problems in t-subtree graphs, the intersection graphs of tsubtrees, where a t-subtree is the union of t disjoint subtrees of some tree. This graph cl...
We propose a framework to compute the utility of a proposal w.r.t. a preference set in a negotiation process. In particular, we refer to preferences expressed as weighted formulas ...
Azzurra Ragone, Tommaso Di Noia, Francesco M. Doni...