In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H...
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Background: The exploration of the structural topology and the organizing principles of genomebased large-scale metabolic networks is essential for studying possible relations bet...
Jing Zhao, Hong Yu, Jianhua Luo, Zhi-Wei Cao, Yi-X...
Abstracts "Mixtures at the Interface" David Scott, Rice University Mixture modeling provides an effective framework for complex, high-dimensional data. The potential of m...
Background: The construction of complex spatial simulation models such as those used in network epidemiology, is a daunting task due to the large amount of data involved in their ...