We consider the problem of estimating the regression function in functional linear regression models by proposing a new type of projection estimators which combine
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
We use a lexicographical preference order on the problem space to combine solution synthesis with conflict learning. Given two preferred solutions of two subproblems, we can either...
ABSTRACT. We present PICPA, a new algorithm for tackling constrained continuous multiobjective problems. The algorithm combines constraint propagation techniques and evolutionary c...
Abstract— Coverage is a fundamental problem in sensor networks. In this paper, we addressed the coverage problem from two different view points and refer to them as the worst and...