Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
We discuss several problems of analogy-driven proof plan construction which prevent a solution for more diæcult target problems or make a solution very expensive. Some of these pr...
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...
Sasank Reddy, Andrew Parker, Josh Hyman, Jeff Burk...
: The effectiveness of semantic applications can be increased significantly if the system does not urge the users to take care of explicit semantic annotation creation. Today, sema...