2018 search results - page 87 / 404 » Magnitude-preserving ranking algorithms |
191
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BMCBI
2010
15 years 6 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
203
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ICCV
2011
IEEE
14 years 6 months ago
2011
IEEE
Low-Rank Representation (LRR) [16, 17] is an effective method for exploring the multiple subspace structures of data. Usually, the observed data matrix itself is chosen as the dic...
182
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MCS
2005
Springer
15 years 11 months ago
2005
Springer
Mixed Group Ranks is a parametric method for combining rank based classi ers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
160
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SIGMOD
2001
ACM
16 years 6 months ago
2001
ACM
Users often need to optimize the selection of objects by appropriately weighting the importance of multiple object attributes. Such optimization problems appear often in operation...
140
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ESANN
2008
15 years 7 months ago
2008
We present an algorithm which partitions a data set in two parts with equal size and experimentally nearly the same distribution measured through the likelihood of a Parzen kernel ...