This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
— In this paper, we propose a novel approach to solve constrained optimization problems based on particle swarm optimization (PSO). First, an empirical comparison of the most pop...
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
We reopen the issue of finding an implicit data structure for the dictionary problem. In particular, we examine the problem of maintaining Ò data values in the first Ò locatio...
Gianni Franceschini, Roberto Grossi, J. Ian Munro,...
Continuous Data Protection (CDP) is a recent storage technology which enables reverting the state of the storage to previous points in time. We propose four alternative architectu...
Guy Laden, Paula Ta-Shma, Eitan Yaffe, Michael Fac...