3475 search results - page 288 / 695 » Backbones in Optimization and Approximation |
152
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JCNS
2010
15 years 5 months ago
2010
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
179
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FSTTCS
2010
Springer
15 years 4 months ago
2010
Springer
ABSTRACT. Motivated by economic thought, a recent research agenda has suggested the algorithmic study of combinatorial optimization problems under functions which satisfy the prope...
165
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AAAI
2006
15 years 8 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
312
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EMMCVPR
2011
Springer
14 years 6 months ago
2011
Springer
In this work, we are concerned with the detection of multiple objects in an image. We demonstrate that typically applied objectives have the structure of a random field model, but...
176
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INFOCOM
2012
IEEE
13 years 9 months ago
2012
IEEE
—Conserving network-wide energy consumption is becoming an increasingly important concern for network operators. In this work, we study network-wide energy conservation problem w...