In this paper we introduce the Generalized Bayesian Committee Machine (GBCM) for applications with large data sets. In particular, the GBCM can be used in the context of kernel ba...
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
This paper describes the early analysis and estimation features currently implemented in the Berkeley Emulation Engine (BEE) system. BEE is an integrated rapid prototyping and des...
Chen Chang, Kimmo Kuusilinna, Brian C. Richards, A...
Background: As a variety of functional genomic and proteomic techniques become available, there is an increasing need for functional analysis methodologies that integrate heteroge...