Distributed embedded sensor networks are now being successfully deployed in environmental monitoring of natural phenomena as well as for applications in commerce and physical secu...
Richard Pon, Maxim A. Batalin, Mohammad H. Rahimi,...
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
In this paper, we report on the integration challenges of the various component technologies developed towards the establishment of a framework for deploying an adaptive system of...
M. Ani Hsieh, Anthony Cowley, James F. Keller, Lui...
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
We address the problem of autonomously learning controllers for visioncapable mobile robots. We extend McCallum's (1995) Nearest-Sequence Memory algorithm to allow for genera...
Viktor Zhumatiy, Faustino J. Gomez, Marcus Hutter,...