We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
To reduce the cost of regression testing, software testers may prioritize their test cases so that those which are more important, by some measure, are run earlier in the regressi...
Sebastian G. Elbaum, Alexey G. Malishevsky, Gregg ...
Abstract. The estimation of human age from face images is an interesting problem in computer vision. We proposed a general distance metric learning scheme for regression problems, ...
We present a new regression algorithm called Additive Groves and show empirically that it is superior in performance to a number of other established regression methods. A single G...
This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...