641 search results - page 91 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
NN
2006
Springer
14 years 9 months ago
2006
Springer
Several bioinformatics data sets are naturally represented as graphs, for instance gene regulation, metabolic pathways, and proteinprotein interactions. The graphs are often large ...
NN
2002
Springer
14 years 9 months ago
2002
Springer
In reinforcement learning (RL), the duality between exploitation and exploration has long been an important issue. This paper presents a new method that controls the balance betwe...
101
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TSP
2010
14 years 4 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
103
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ICANN
2009
Springer
14 years 7 months ago
2009
Springer
Mapping brain activity patterns in external actions has been studied in recent decades and is the base of a brain-computer interface. This type of interface is extremely useful for...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...