2898 search results - page 64 / 580 » Ensemble Methods in Machine Learning |
ECML
2007
Springer
13 years 11 months ago
2007
Springer
We consider the problem of ordinal classification, in which a value set of the decision attribute (output, dependent variable) is finite and ordered. This problem shares some chara...
NAACL
2004
13 years 9 months ago
2004
Supervised estimation methods are widely seen as being superior to semi and fully unsupervised methods. However, supervised methods crucially rely upon training sets that need to ...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
AC
2001
Springer
14 years 11 days ago
2001
Springer
Research in Machine Learning methods to-date remains centered on technological issues and is mostly application driven. This letter summarizes successful applications of machine l...
IDA
2007
Springer
14 years 2 months ago
2007
Springer
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...