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...
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...
MedioVis is a visual information seeking system which was designed especially for library data. The objective target was to create a system which simplifies and optimizes the user...
In recent years, power consumption has become a critical concern for many VLSI systems. Whereas several case studies demonstrate that technology-, layout-, and gate-level technique...
Dan Crisu, Sorin Cotofana, Stamatis Vassiliadis, P...