Developing network protocols for mobile wireless systems is a complex task, and most of the existing simulator frameworks are not well suited for experimental development. The YAE...
The modeling of computer systems, particularly distributed systems, is presented with an emphasis on the system characteristics that are important to the model and some general me...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
This paper gives an overview over the progress that has been made by the Heidelberg FPTA group within the field of analog evolvable hardware. Achievements are the design of a CMOS...
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...