288 search results - page 7 / 58 » Robust Regression and Lasso |
JMLR
2012
13 years 1 days ago
2012
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
88
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ESEM
2008
ACM
14 years 11 months ago
2008
ACM
Building cost estimation models is often considered a search problem in which the solver should return an optimal solution satisfying an objective function. This solution also nee...
82
Voted
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Sparse kernel regressors have become popular by applying the support vector method to regression problems. Although this approach has been shown to exhibit excellent generalization...
133
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PAMI
2012
13 years 1 days ago
2012
Abstract—We consider two desired properties of learning algorithms: sparsity and algorithmic stability. Both properties are believed to lead to good generalization ability. We sh...