We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
In this paper we present a scalable and distributed access structure for similarity search in metric spaces. The approach is based on the Content– addressable Network (CAN) parad...
In this paper, Dept. of Computer Science, University of Waterloo Waterloo, Ontario, Canada, N2L 3G1 we consider how to exploit multiple disks to improve the performance of B-tree ...
—Particle Swarm Optimisation (PSO) is increasingly being applied to optimisation of multi-objective problems in engineering design and scientific investigation. This paper inves...