We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
This paper deals with the on-line allocation of shared data objects to the local memory modules of the nodes in a network. We assume that the data is organized in indivisible objec...
The nearest- or near-neighbor query problems arise in a large variety of database applications, usually in the context of similarity searching. Of late, there has been increasing ...
Interval Routing Schemes (IRS for short) have been extensively investigated in the past years with special emphasis on shortest paths. Besides their theoretical interest, IRS have...
Serafino Cicerone, Gabriele Di Stefano, Michele Fl...
This paper describes the strengths and weaknesses of two usability assessment methods frequently applied to web sites. It uses case histories of WWW usability studies conducted by...