641 search results - page 36 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
103
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BMCBI
2004
14 years 9 months ago
2004
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
ICANN
2010
Springer
14 years 10 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...
BIBE
2007
IEEE
15 years 4 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
IWANN
2009
Springer
15 years 4 months ago
2009
Springer
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...
129
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HVEI
2010
14 years 7 months ago
2010
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...