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» On regularization algorithms in learning theory
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JC
2007
62views more  JC 2007»
13 years 4 months ago
On regularization algorithms in learning theory
Frank Bauer, Sergei V. Pereverzev, Lorenzo Rosasco
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 5 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
FOCM
2006
97views more  FOCM 2006»
13 years 4 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
EUROCOLT
1999
Springer
13 years 9 months ago
Regularized Principal Manifolds
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
Alex J. Smola, Robert C. Williamson, Sebastian Mik...
WWW
2008
ACM
14 years 5 months ago
Learning deterministic regular expressions for the inference of schemas from XML data
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
Geert Jan Bex, Wouter Gelade, Frank Neven, Stijn V...