904 search results - page 51 / 181 » Machine learning for stock selection |
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernelizing partial least squares (PLS), an algorithm which has been particularly popular in chemometrics, leads to kernel PLS which has several interesting properties, including ...
ICML
1997
IEEE
14 years 28 days ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
ICML
1994
IEEE
14 years 7 days ago
1994
IEEE
Many real-world domains bless us with a wealth of attributes to use for learning. This blessing is often a curse: most inductive methods generalize worse given too many attributes...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We examine the set covering machine when it uses data-dependent half-spaces for its set of features and bound its generalization error in terms of the number of training errors an...