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ESANN
2007
15 years 22 days ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
MASCOTS
2007
15 years 21 days ago
Distance Reduction in Mobile Wireless Communication: Lower Bound Analysis and Practical Attainment
— The transmission energy required for a wireless communication increases superlinearly with the communication distance. In a mobile wireless network, nodal movement can be explo...
Yu Dong, Wing-Kai Hon, David K. Y. Yau, Jren-Chit ...
SIMUTOOLS
2008
15 years 21 days ago
Simulating SMEPP middleware
Embedded Peer-to-Peer Systems (EP2P) represent a new challenge in the development of software for distributed systems. The main objective of the SMEPP (Secure Middleware for Embed...
Javier Barbarán, Carlos Bonilla, Jose &Aacu...
SIROCCO
2008
15 years 21 days ago
Remembering without Memory: Tree Exploration by Asynchronous Oblivious Robots
In the effort to understand the algorithmic limitations of computing by a swarm of robots, the research has focused on the minimal capabilities that allow a problem to be solved. ...
Paola Flocchini, David Ilcinkas, Andrzej Pelc, Nic...
NIPS
2007
15 years 21 days ago
Receptive Fields without Spike-Triggering
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...
Jakob Macke, Guenther Zeck, Matthias Bethge
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