904 search results - page 89 / 181 » Machine learning for stock selection |
ECWEB
2011
Springer
12 years 8 months ago
2011
Springer
The community of multi-agent systems has been studying ways to improve the selection of partner agents for joint action. One of such approaches consists in estimating the trustwort...
MINENET
2006
ACM
14 years 2 months ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
ACIVS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
With the development of highly efficient graph data collection technology in many application fields, classification of graph data emerges as an important topic in the data mining...
ICDM
2008
IEEE
14 years 3 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...