Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
While hardware caches are generally effective at improving application performance, they greatly complicate performance prediction. Slight changes in memory layout or data access p...
Over the last few years, a growing number of studies have explored how Aspect-Oriented Programming (AOP) might impact software maintainability. Most of the studies use coupling met...
Abstract-- This paper presents an approach for visualizing highdimensional fuzzy rules arranged in a hierarchy together with the training patterns they cover. A standard multi-dime...
Thomas R. Gabriel, Kilian Thiel, Michael R. Bertho...
We explore techniques for detecting news articles containing invalid information, using the help of text categorization technology. The information that exists on the World Wide W...