Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
— Mobile ad hoc networks (MANETs) provide a powerful and dynamic platform to enable mobile computers to establish communications without an existing infrastructure. In order to p...
Ad-hoc networks of mobile devices such as smart phones and PDAs represent a new and exciting distributed system architecture. Building distributed applications on such an architec...
Yang Ni, Ulrich Kremer, Adrian Stere, Liviu Iftode
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
With this work we aim to make a three-fold contribution. We first address the issue of supporting efficiently queries over string-attributes involving prefix, suffix, containmen...