The distributed estimation of the number of active sensors in a network can be important for estimation and organization purposes. We propose a design methodology based on the foll...
This article proposes a stochastic version of the matching pursuit algorithm for Bayesian variable selection in linear regression. In the Bayesian formulation, the prior distributi...
As the fields of translational research and personalized medicine evolve, the need clinicians and scientists have to exchange experimental results is growing. As different termino...
The location management ability of a mobile agent system which enables a mobile agent to interact with others accurately by message passing beyond doubts stands important for the ...
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...