Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
We have recently proposed and investigated a planar imaging method called multiple-image radiography (MIR) that concurrently produces three two-dimensional images that reveal info...
Miles N. Wernick, Jovan G. Brankov, Dean Chapman, ...
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
—Given an erroneous design, functional verification returns an error trace exhibiting a mismatch between the specification and the implementation of a design. Automated design ...