1209 search results - page 45 / 242 » Semi-Supervised Learning with Trees |
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
CP
2009
Springer
14 years 8 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...