Although many algorithms have been designed to construct Bayesian network structures using different approaches and principles, they all employ only two methods: those based on i...
Background: Pairwise sequence alignment methods are widely used in biological research. The increasing number of sequences is perceived as one of the upcoming challenges for seque...
Jacek Blazewicz, Wojciech Frohmberg, Michal Kierzy...
Fixing software bugs has always been an important and timeconsuming process in software development. Fixing concurrency bugs has become especially critical in the multicore era. H...
— The Dark Silicon Age kicked off with the transition to multicore and will be characterized by a wild chase for seemingly ever-more insane architectural designs. At the heart o...
Nathan Goulding-Hotta, Jack Sampson, Qiaoshi Zheng...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...