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42a6845a557bef704ad8ac9cb4461d43-Supplemental.pdf
Gaussian entries, thegoal isto recover thek-sparse unit vectorx Rn. The structure we enforce on x is sparsity: |supp(x)| k.
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42a6845a557bef704ad8ac9cb4461d43-Paper.pdf
Gaussian entries, thegoal isto recover thek-sparse unit vectorx Rn. The structure we enforce on x is sparsity: |supp(x)| k.
Country:
- Europe > Austria > Styria > Graz (0.04)
- North America > United States > Washington > King County > Seattle (0.04)
- North America > United States > California > Santa Clara County > Palo Alto (0.04)
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36ac8e558ac7690b6f44e2cb5ef93322-Supplemental.pdf
In our comparativestudy, we choose 4 challenging benchmark datasets for feature selection evaluation.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.68)
ContextualReservePriceOptimizationinAuctions viaMixed-IntegerProgramming
We study the problem of learning a linear model to set the reserve price in an auction, given contextual information, in order to maximize expected revenue fromtheseller side.
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- North America > United States > Virginia (0.04)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.04)
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