877 search results - page 29 / 176 » Selection of Subsets of Ordered Features in Machine Learning |
113
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
138
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SDM
2012
SIAM
13 years 4 months ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
122
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ACL
2008
15 years 3 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
126
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ICML
2004
IEEE
15 years 7 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...
152
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CSB
2004
IEEE
15 years 5 months ago
2004
IEEE
Gene expression profiles with clinical outcome data enable monitoring of disease progression and prediction of patient survival at the molecular level. We present a new computatio...