56 search results - page 7 / 12 » Stochastic methods for l1 regularized loss minimization |
181
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NIPS
2001
15 years 7 months ago
2001
Abstract--Kernel-based algorithms such as support vector machines have achieved considerable success in various problems in batch setting, where all of the training data is availab...
153
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CORR
2008
Springer
15 years 5 months ago
2008
Springer
The two major approaches to sparse recovery are L1-minimization and greedy methods. Recently, Needell and Vershynin developed Regularized Orthogonal Matching Pursuit (ROMP) that ha...
144
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SIAMNUM
2010
15 years 12 days ago
2010
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
165
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JMLR
2006
15 years 5 months ago
2006
We determine the asymptotic behaviour of the function computed by support vector machines (SVM) and related algorithms that minimize a regularized empirical convex loss function i...
155
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ICCV
2007
IEEE
16 years 7 months ago
2007
IEEE
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substa...