1691 search results - page 197 / 339 » Restricted subset selection |
142
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CORR
2007
Springer
15 years 3 months ago
2007
Springer
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
155
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JCP
2008
15 years 3 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
110
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JAR
2006
15 years 3 months ago
2006
Abstract. As products are growing more complex, so is their documentation. With an increasing number of product options, the diversity in service and maintenance procedures grows a...
139
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EOR
2007
15 years 3 months ago
2007
Classical vehicle routing problems typically do not consider the impact of delivery price on the demand for delivery services. Existing models seek the minimum sum of tour lengths...
159
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PAMI
2006
15 years 3 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...