91 search results - page 10 / 19 » Financial time series prediction using a support vector regr... |
NIPS
2007
13 years 10 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
ESANN
2006
13 years 10 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
NN
2006
Springer
13 years 8 months ago
2006
Springer
The paper presents machine learning (ML) models that predict sedimentation in the harbour basin of the Port of Rotterdam. The important factors affecting the sedimentation process...
IWANN
2009
Springer
14 years 3 months ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
IJCNN
2008
IEEE
14 years 3 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...