Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
— Hierarchical Distributed Hash Table (DHT) architectures have been among the most interesting research topics since the birth of flat DHT architecture. However, most of the prev...
Zhonghong Ou, Erkki Harjula, Timo Koskela, Mika Yl...
Integrating sensor networks with general purpose IT infrastructure has been confirmed as a complex problem in the development and management of industrial sensor applications. Th...
We provide an overview of Vector Symbolic Architectures (VSA), a class of structured associative memory models that offers a number of desirable features for artificial general int...
Abstract. We consider a generalized form of the conventional decentralized control architecture for discreteevent systems where the control actions of a set of supervisors can be `...