The current generation of le systems are inadequate in facing the new technological challenges of wide area networks and massive storage. xFS is a prototype le system we are devel...
Abstract. Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. We are developing a compiler which processes da...
Renato Ferreira, Gagan Agrawal, Ruoming Jin, Joel ...
Unsupervised clustering can be significantly improved using supervision in the form of pairwise constraints, i.e., pairs of instances labeled as belonging to same or different clu...
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...