Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
The term organizational memory is due for an overhaul. Memory appears to be everywhere in organizations; yet, the term has been limited to a few uses. In this paper we examine wha...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
Passive monitoring utilizing distributed wireless sniffers is an effective technique to monitor activities in wireless infrastructure networks for fault diagnosis, resource manage...
Arun Chhetri, Huy Anh Nguyen, Gabriel Scalosub, Ro...