—In Liquid State Machines, separation is a critical attribute of the liquid—which is traditionally not trained. The effects of using Hebbian learning in the liquid to improve s...
—Any system which must learn to perform a large number of behavioral features with limited information handling resources will tend to be constrained within a set of architectura...
—This paper proposes a new architecture for robot control. A test scenario is outlined to test the proposed system and enable a comparison with an existing system, which is able ...
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
—A generic prioritization framework is introduced for addressing the problem of automated prioritization of target selection and instrument usage, applicable to Earth and Space r...