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129
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JMLR
2010
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JMLR 2010
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Increasing Feature Selection Accuracy for L1 Regularized Linear Models
14 years 10 months ago
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featureselection.asu.edu
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic
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