Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
: The topics presented in this paper regard the project “Data Optimisation for integrated Telematics” (Do-iT) granted by the German ministry of economics and technology. Within...
— An optimal bandwidth allocation policy for axis distributed control using networked control systems (NCS) is presented. First, the benefits of structuring highly articulated r...
We describe a uniform technique for representing both sensory data and the attentional state of an agent using a subset of modal logic with indexicals. The resulting representatio...
— In this paper, we propose a novel duty cycling algorithm for large-scale dense wireless sensor networks. The proposed algorithm is based on a social behavior of nodes in the se...