904 search results - page 44 / 181 » Machine learning for stock selection |
124
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ECML
1998
Springer
15 years 8 months ago
1998
Springer
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
139
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ICMLA
2009
2009
Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk
15 years 1 months ago
Patients undergoing thoracic radiation therapy can develop radiation pneumonitis (RP), a potentially fatal inflammation of the lungs. Support vector machines (SVMs), a statistical...
148
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ICML
2004
IEEE
15 years 9 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...
133
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
143
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ACL
2008
15 years 5 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...