Abstract. Previous work has shown that modeling relationships between articles of a regulation as vertices of a graph network works twice as better than traditional information ret...
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Historical linguistics aims at inferring the most likely language phylogenetic tree starting from information concerning the evolutionary relatedness of languages. The available i...
Abstract The significant overhead related to frequent location updates from moving objects often results in poor performance. As most of the location updates do not affect the quer...
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...