Many statistical methods have been proposed to estimate causal models in classical situations with fewer variables than observations. However, modern datasets including gene expres...
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...
This paper proposes and explains a data treatment technique to improve the accuracy of a neural network estimator in regression problems, where multi-dimensional input data set is...
Abstract--This paper addresses reliability of data dissemination applications when there are severe disruptions to the underlying physical infrastructure. Such massive simultaneous...
Recent progress in ubiquitous computing technology is allowing development of new and sophisticated applications that are now able to store very large data on the mobile device it...
Cristiano Silveira, Leonardo Eloy, Jose Maria Mont...