3245 search results - page 352 / 649 » Mining Transformed Data Sets |
195
Voted
GFKL
2005
Springer
16 years 7 days ago
2005
Springer
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
213
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
182
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
163
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KDD
2008
ACM
16 years 7 months ago
2008
ACM
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
204
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Recommender systems are an emerging technology that helps consumers find interesting products and useful resources. A recommender system makes personalized product suggestions by e...