904 search results - page 94 / 181 » Machine learning for stock selection |
BMCBI
2007
13 years 8 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
BMCBI
2006
13 years 9 months ago
2006
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
ICML
1994
IEEE
14 years 10 days 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...
ACML
2009
Springer
14 years 1 months ago
2009
Springer
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...