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» Support Vector Regression Machines
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173
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COLT
2006
Springer
15 years 4 months ago
Learning Bounds for Support Vector Machines with Learned Kernels
Nathan Srebro, Shai Ben-David
IJON
2007
134views more  IJON 2007»
15 years 11 days ago
Analysis of SVM regression bounds for variable ranking
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
Alain Rakotomamonjy
NPL
2002
168views more  NPL 2002»
15 years 4 days ago
Reduced Rank Kernel Ridge Regression
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
Gavin C. Cawley, Nicola L. C. Talbot
104
Voted
CIKM
2010
Springer
14 years 10 months ago
Utilizing re-finding for personalized information retrieval
Individuals often use search engines to return to web pages they have previously visited. This behaviour, called refinding, accounts for about 38% of all queries. While researcher...
Sarah K. Tyler, Jian Wang, Yi Zhang 0001
NOLISP
2005
Springer
15 years 6 months ago
On the Acoustic-to-Electropalatographic Mapping
Electropalatography is a well established technique for recording information on the patterns of contact between the tongue and the hard palate during speech. It leads to a stream ...
Asterios Toutios, Konstantinos G. Margaritis