2829 search results - page 43 / 566 » Regularization Methods for Additive Models |
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, ...
ISOLA
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. Regular expressions and their extensions have become a major component of industry-standard specification languages such as PSL/Sugar ([2]). The model checking procedure...
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...
108
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SIAMIS
2010
14 years 10 months ago
2010
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
ICML
2009
IEEE
16 years 18 days ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...