Monte-Carlo evaluation consists in estimating a position by averaging the outcome of several random continuations, and can serve as an evaluation function at the leaves of a min-ma...
Understanding what construction strategy has a chance to be a good hash function is extremely important nowadays. In TCC'04, Maurer et al. [13] introduced the notion of indiff...
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Within the framework of continuous and multiresources cumulative constraints, a task T expresses a piecewise linear resource function and is represented by a sequence of p contigu...
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...