We consider the problem of optimizing and executing multiple continuous queries, where each query is a conjunction of filters and each filter may occur in multiple queries. When f...
Kamesh Munagala, Utkarsh Srivastava, Jennifer Wido...
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
In this paper we develop a model for random walk-based search mechanisms in unstructured P2P networks. This model is used to obtain analytical expressions for the performance metr...
This paper benchmarks the particle swarm optimizer with adaptive bounds algorithm (PSO Bounds) on the noisefree BBOB 2009 testbed. The algorithm is further augmented with a simple...