323 search results - page 48 / 65 » Effective Training Methods for Function Localization Neural ... |
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ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
100
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ICIP
2007
IEEE
15 years 4 months ago
2007
IEEE
Palette re-ordering is a well known and very effective approach for improving the compression of color indexed images. If the spatial distribution of the indexes in the image is s...