818 search results - page 16 / 164 » Regularized multi--task learning |
ITA
2007
13 years 9 months ago
2007
We study the problem of learning regular tree languages from text. We show that the framework of function distinguishability as introduced by the author in Theoretical Computer Sc...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
ICDM
2009
IEEE
13 years 7 months ago
2009
IEEE
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
CIKM
2008
Springer
13 years 11 months ago
2008
Springer
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JMLR
2010
13 years 4 months ago
2010
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...