The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
Qingping Tao, Stephen D. Scott, N. V. Vinodchandra...
The partitioned preemptive EDF scheduling of implicitdeadline sporadic task systems on an identical multiprocessor platform is considered. Lookup tables, at any selected degree of...
Abstract. In this paper we develop a general technique to eliminate the assumption of the Generalized Riemann Hypothesis (GRH) from various deterministic polynomial factoring algor...
We have recently proposed augmenting clauses in a Boolean database with groups of permutations, the augmented clauses then standing for the set of all clauses constructed by actin...
Heidi E. Dixon, Matthew L. Ginsberg, David K. Hofe...
Although numerous methods have been proposed for interconnect simulation, no single model exists for all kind of transmission line problems. This paper presents a new, single, gen...