This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
In various settings, such as when customers use the same passwords at several independent web sites, security decisions by one organization may have a significant impact on the s...
Reiko Ann Miura-Ko, Benjamin Yolken, John Mitchell...
The convergence of iterative methods used to solve the linear systems arising in incompressible flow problems is sensitive to flow parameters such as the Reynolds number, time s...
Game studies methodologies which focus on the visual, narrative, and semiotic content of digital games overlook the way that embodied perception and physiological response contrib...