The ongoing scaling of semiconductor technology is causing severe increase of on-chip power density and temperature in microprocessors. This has raised urgent requirement for both...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Abstract. We propose a qualitative approach to elaborating the biosynthetic capacities of metabolic networks. In fact, large-scale metabolic networks as well as measured datasets s...
In recent years light-weighted formal methods are of growing interest in construction and analysis of complex concurrent software system. A new rule-action based term rewriting fr...
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...