Being embedded in the physical world, sensor networks present a wide range of bugs and misbehavior qualitatively different from those in most distributed systems. Unfortunately, d...
Nithya Ramanathan, Kevin K. Chang, Rahul Kapur, Le...
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
The frequency of accesses to remote data is a key factor affecting the performance of all Distributed Shared Memory (DSM) systems. Remote data caching is one of the most effective...
As the last-level on-chip caches in chip-multiprocessors increase in size, the physical locality of on-chip data becomes important for delivering high performance. The non-uniform...