We live in an era of data explosion that necessitates the discovery of novel out-of-core techniques. The I/O bottleneck has to be dealt with in developing out-of-core methods. The...
Abstract. We consider scenarios in which two parties, each in possession of a graph, wish to compute some algorithm on their joint graph in a privacy-preserving manner, that is, wi...
This paper deals with the load-balancing of machines in a real-world job-shop scheduling problem, with identical machines. The load-balancing algorithm allocates jobs, split into l...
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy...
Abstract. We have presented an optimal algorithm for minimal cost loop problem (MCLP), which consists of finding a set of minimum cost loops rooted at a source node. In the MCLP, t...