There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and invo...
that defines abstract costs for measuring or analyzing the performance of computations, (2) to supply the users with a mapping of these costs onto runtimes on various machine model...
Abstract. The Operational Transformation (OT) approach is a technique for supporting optimistic replication in collaborative and mobile systems. It allows the users to concurrently...
Deterministic finite automata (DFAs) are widely used to perform regular expression matching in linear time. Several techniques have been proposed to compress DFAs in order to redu...
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...