3542 search results - page 292 / 709 » Phenomenal Data Mining: From Data to Phenomena |
177
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PAKDD
2004
ACM
16 years 1 days ago
2004
ACM
Generic ensemble methods can achieve excellent learning performance, but are not good candidates for active learning because of their different design purposes. We investigate how...
226
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SDM
2007
SIAM
15 years 8 months ago
2007
SIAM
Nonlinear dimensionality reduction methods often rely on the nearest-neighbors graph to extract low-dimensional embeddings that reliably capture the underlying structure of high-d...
199
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PAKDD
2005
ACM
16 years 5 days ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
228
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SDM
2012
SIAM
13 years 9 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
178
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KDD
2009
ACM
16 years 1 months ago
2009
ACM
We describe a visual analytics method supporting the analysis of two different types of spatio-temporal data, point events and trajectories of moving agents. The method combines c...