904 search results - page 66 / 181 » Machine learning for stock selection |
ADMA
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algor...
NECO
2008
13 years 8 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
ICTAI
2010
IEEE
13 years 6 months ago
2010
IEEE
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
ECML
2005
Springer
14 years 2 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...