In this paper, we investigate the data access patterns and file I/O behaviors of a production cosmology application that uses the adaptive mesh refinement (AMR) technique for it...
Jianwei Li, Wei-keng Liao, Alok N. Choudhary, Vale...
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Abstract. A crucial issue in the management of sensor networks is the continuous monitoring of residual energy level of the sensors in the network. In this paper, we propose a hier...