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» On the Use of Evidence in Neural Networks
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GECCO
2011
Springer
264views Optimization» more  GECCO 2011»
14 years 10 months ago
Critical factors in the performance of novelty search
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away...
Steijn Kistemaker, Shimon Whiteson
APIN
1999
107views more  APIN 1999»
15 years 6 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
NN
2000
Springer
170views Neural Networks» more  NN 2000»
15 years 6 months ago
Synthetic brain imaging: grasping, mirror neurons and imitation
The article contributes to the quest to relate global data on brain and behavior (e.g. from PET, Positron Emission Tomography, and fMRI, functional Magnetic Resonance Imaging) to ...
Michael A. Arbib, Aude Billard, Marco Iacoboni, Er...
GIS
2009
ACM
15 years 10 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
ICC
2008
IEEE
130views Communications» more  ICC 2008»
16 years 1 months ago
Managing Network Congestion with a Kohonen-Based RED Queue
— The behaviour of the TCP AIMD algorithm is known to cause queue length oscillations when congestion occurs at a router output link. Indeed, due to these queueing variations, en...
Emmanuel Lochin, Bruno Talavera