198 search results - page 4 / 40 » A Learning Algorithm for Multiple Rule Trees |
ALT
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. We consider the problem of learning stochastic tree languages, i.e. probability distributions over a set of trees T(F), from a sample of trees independently drawn accordi...
AAAI
2007
13 years 10 months ago
2007
Binary voting trees provide a succinct representation for a large and prominent class of voting rules. In this paper, we investigate the PAC-learnability of this class of rules. W...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Tree-structured models have been widely used for human pose estimation, in either 2D or 3D. While such models allow efficient learning and inference, they fail to capture...