1420 search results - page 66 / 284 » Cluster Ensemble Selection |
JIPS
2011
14 years 7 months ago
2011
114
Voted
PRL
2006
15 years 15 days ago
2006
This paper presents an algorithm, called the modified suppressed fuzzy c-means (MS-FCM), that simultaneously performs clustering and parameter selection for the suppressed fuzzy c...
111
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AINA
2007
IEEE
15 years 7 months ago
2007
IEEE
Nodes in sensor fields and in autonomous swarms of mobile robots need to communicate; this usually requires individual nodes to either consume a significant amount of energy, ca...
126
Voted
PRL
2008
15 years 16 days ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
148
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SDM
2008
SIAM
15 years 2 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...