115 search results - page 19 / 23 » Bayesian Learning of Loglinear Models for Neural Connectivit... |
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
NN
2002
Springer
14 years 9 months ago
2002
Springer
Acetylcholine (ACh) plays an important role in a wide variety of cognitive tasks, such as perception, selective attention, associative learning, and memory. Extensive experimental...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
138
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ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
101
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...