As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Interest Management in large-scale distributed applications aims to reduce the amount of extraneous broadcast communication between nodes in the system with the aim of increasing ...
This paper presents a parallel framework of grid-based numerical algorithms where data dependencies between grid zones can be modeled by a directed acyclic graph (DAG). It consist...
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
When multiple agents are in a shared environment, there usually exist constraints among the possible actions of these agents. A distributed constraint satisfaction problem (distrib...