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NN
2006
Springer
127views Neural Networks» more  NN 2006»
14 years 9 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
COMPUTER
2004
179views more  COMPUTER 2004»
14 years 9 months ago
Environmental Sensor Networks
Environmental Sensor Networks (ESNs) facilitate the study of fundamental processes and the development of hazard response systems. They have evolved from passive logging systems t...
Kirk Martinez, Jane K. Hart, Royan Ong
IJCNN
2007
IEEE
15 years 4 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
IWSOC
2005
IEEE
133views Hardware» more  IWSOC 2005»
15 years 3 months ago
Design Mapping, and Simulations of a 3G WCDMA/FDD Basestation Using Network on Chip
This paper presents a case study of a single-chip 3G WCDMA/FDD basestation implementation based on a circuit-switched network on chip. As the amount of transistors on a chip conti...
Daniel Wiklund, Dake Liu
ICC
2007
IEEE
128views Communications» more  ICC 2007»
15 years 4 months ago
Supporting the Sink Mobility: a Case Study for Wireless Sensor Networks
— This paper deals with a system level design solution to support information gathering in the presence of a mobile querying node that experiences frequent disconnections from a ...
David Tacconi, Iacopo Carreras, Daniele Miorandi, ...