4903 search results - page 190 / 981 » The Set Covering Machine |
127
Voted
FSTTCS
2010
Springer
15 years 19 days ago
2010
Springer
We consider the following fundamental scheduling problem. The input consists of n jobs to be scheduled on a set of machines of bounded capacities. Each job is associated with a re...
109
Voted
JMLR
2010
14 years 9 months ago
2010
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
118
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
118
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ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
120
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KDD
2005
ACM
16 years 3 months ago
2005
ACM
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...