32 search results - page 1 / 7 » Variational Bayes Solution of Linear Neural Networks and Its... |
NECO
2007
13 years 4 months ago
2007
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
IEICET
2006
13 years 4 months ago
2006
TNN
2010
12 years 11 months ago
2010
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
JSAC
2010
13 years 3 months ago
2010
—Joint synchronization and localization using time of arrival (TOA) measurements is a very important research topic for many wireless ad hoc sensor network applications. For such...
ESANN
2008
13 years 6 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...