1915 search results - page 223 / 383 » Computing LTS Regression for Large Data Sets |
171
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MCS
2007
Springer
16 years 14 days ago
2007
Springer
Selecting the optimal number of features in a classifier ensemble normally requires a validation set or cross-validation techniques. In this paper, feature ranking is combined with...
255
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SIGMOD
2008
ACM
16 years 6 months ago
2008
ACM
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
171
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ICML
1994
IEEE
15 years 9 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
217
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CVPR
2011
IEEE
15 years 2 months ago
2011
IEEE
Unsupervised categorization of objects is a fundamental problem in computer vision. While appearance-based methods have become popular recently, other important cues like function...
218
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SIAMREV
2010
15 years 1 months ago
2010
The newly emerging field of Network Science deals with the tasks of modelling, comparing and summarizing large data sets that describe complex interactions. Because pairwise affin...