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» On optimal service selection
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204
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IEICET
2007
114views more  IEICET 2007»
15 years 7 months ago
Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
Shun Gokita, Masashi Sugiyama, Keisuke Sakurai
MP
2010
162views more  MP 2010»
15 years 5 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
IDEAL
2005
Springer
16 years 29 days ago
A Comparative Study of Two Novel Predictor Set Scoring Methods
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
Chia Huey Ooi, Madhu Chetty
215
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GECCO
2010
Springer
176views Optimization» more  GECCO 2010»
15 years 9 months ago
A hierarchical cooperative evolutionary algorithm
To successfully search multiple coadaptive subcomponents in a solution, we developed a novel cooperative evolutionary algorithm based on a new computational multilevel selection f...
Shelly Xiaonan Wu, Wolfgang Banzhaf
WWW
2008
ACM
16 years 8 months ago
Using context to enable semantic mediation in web service communities
The use of communities provides a scalable solution for gathering and managing functionally-equivalent Web services. In order to ensure single access to the community, a community...
Michael Mrissa, Philippe Thiran, Chirine Ghedira, ...