13 search results - page 2 / 3 » Bregman distance to L1 regularized logistic regression |
ICML
2004
IEEE
16 years 18 days ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
NIPS
2008
15 years 1 months ago
2008
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
JMIV
2006
14 years 11 months ago
2006
Abstract. A generalized iterative regularization procedure based on the total variation penalization is introduced for image denoising models with non-quadratic convex fidelity ter...
112
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CIKM
2010
Springer
14 years 9 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
102
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JMLR
2010
14 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...