We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...
Users of social networking sites often want to manage the sharing of information and content with different groups of people based on their differing relationships. However, group...
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
This paper focuses on the scheduling of multiple-wavelength lightpaths and outlines an algorithm to provide increased simultaneous allocations of lightpaths on the Lambda-Grid. Se...