151 search results - page 5 / 31 » Feature selection for ordinal regression |
DATAMINE
2007
13 years 7 months ago
2007
We propose a novel context sensitive algorithm for evaluation of ordinal attributes which exploits the information hidden in ordering of attributes’ and class’ values and prov...
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
IJCAI
1993
13 years 8 months ago
1993
While decision trees have been used primarily for classification, they can also model regression or function approximation. Like classification trees, regression trees often yield...
ESANN
2006
13 years 8 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 ...
UAI
2008
13 years 8 months ago
2008
Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document met...