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» Statistical Models for Automatic Performance Tuning
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ESANN
2004
13 years 9 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
MOBICOM
2009
ACM
14 years 2 months ago
Capacity of large-scale CSMA wireless networks
In the literature, asymptotic studies of multi-hop wireless network capacity often consider only centralized and deterministic TDMA (time-division multi-access) coordination schem...
Chi-Kin Chau, Minghua Chen, Soung Chang Liew
BMCBI
2008
147views more  BMCBI 2008»
13 years 7 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
CIKM
2008
Springer
13 years 9 months ago
Trada: tree based ranking function adaptation
Machine Learned Ranking approaches have shown successes in web search engines. With the increasing demands on developing effective ranking functions for different search domains, ...
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, La...
CVPR
2005
IEEE
14 years 9 months ago
Determining the Radiometric Response Function from a Single Grayscale Image
A method is presented for computing the radiometric response function of a camera from a single grayscale image. While most previous techniques require a set of registered images ...
Stephen Lin, Lei Zhang