Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur...
Abstract--The highly dynamic nature of infrastructureless adhoc networks poses new challenges during resource discovery. In this paper, we propose a novel algorithm for resource di...
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...