This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
In this paper we present a simple hierarchical Bayesian treatment of the sparse kernel logistic regression (KLR) model based MacKay's evidence approximation. The model is re-p...
: Electronic marketplaces are important facilitators of today’s e-business activities. Besides substantial advantages offered by these exchange sites, emarketplaces do not work u...
We have developed and applied modeling, simulation, and analysis capabilities for addressing strategic and tactical logistics problems in the chemical industry. These problems hav...
Data fusion has been investigated by many researchers in the information retrieval community and has become an effective technique for improving retrieval effectiveness. In this p...