502 search results - page 69 / 101 » Computational model for amygdala neural networks |
103
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ICANN
2010
Springer
15 years 3 months ago
2010
Springer
Structural equation models have been widely used to study causal relationships between continuous variables. Recently, a non-Gaussian method called LiNGAM was proposed to discover ...
103
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IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
114
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CEC
2008
IEEE
15 years 8 months ago
2008
IEEE
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
100
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ICANN
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
118
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ICANN
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...