3467 search results - page 70 / 694 » Streamwise Feature Selection |
100
Voted
JMLR
2010
14 years 7 months ago
2010
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
83
Voted
BMCBI
2006
15 years 24 days ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
105
Voted
BMCBI
2008
15 years 26 days ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
105
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PAA
2008
15 years 21 days ago
2008
Abstract In this paper we present a new method for Joint Feature Selection and Classifier Learning (JFSCL) using a sparse Bayesian approach. These tasks are performed by optimizing...
116
Voted
ACL
2008
15 years 2 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...