A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
Chunping Wang, Xuejun Liao, Lawrence Carin, David ...
In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Abstract. Pseudonymization is sometimes used as a light-weight alternative to fully cryptographic solutions, when information from different data sources needs to be linked in a p...
Background: Traditional HTML interfaces for input to and output from Bioinformatics analysis on the Web are highly variable in style, content and data formats. Combining multiple ...
Higher Education Institutions are now spending a significant portion of their budget to implement and maintain modern Enterprise Resource Planning (ERP) solutions. ERP is a softwa...