Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
MMLite is a modular system architecture that is suitable for a wide variety of hardware and applications. The system provides a selection of object-based components that are dynam...
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
This paper presents the main concepts of the IST Project FAIN "Future Active IP Networks" [10], a three-year collaborative research project, whose main task is to develo...
Alex Galis, Bernhard Plattner, Jonathan M. Smith, ...