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...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Most current XQuery implementations require that all XML data reside in memory in one form or another before they start processing the data. This is unacceptable for large XML doc...
In this paper, we study energy conservation techniques for disk array-based network servers. First, we introduce a new conservation technique, called Popular Data Concentration (P...
As technology evolves into the deep sub-micron era, signal integrity problems are growing into a major challenge. An important source of signal integrity problems is the crosstalk...