A robot that is to assist humans in everyday activities should not only be efficient, but also choose actions that are understandable for a person. One characteristic of human task...
We have explored in this paper a framework to test in a quantitative manner the stability of different endmember extraction and spectral unmixing algorithms based on the concept o...
Fermin Ayuso, Javier Setoain, Manuel Prieto, Chris...
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
This paper investigates some power efficient data cache designs that try to significantly reduce the cache energy consumption, both static and dynamic, with a minimal impact in pe...
Associative memories based on DNA-affinity have been proposed [2]. Here, the performance, efficiency, reliability of DNA-based memories is quantified through simulations in silico....