641 search results - page 36 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
156
Voted
BMCBI
2004
15 years 3 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...
137
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ICANN
2010
Springer
15 years 3 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, ...
134
Voted
BIBE
2007
IEEE
15 years 9 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...
100
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IWANN
2009
Springer
15 years 10 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...
182
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HVEI
2010
15 years 1 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 ...