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» Learning with Mixtures of Trees
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CVPR
2012
IEEE
11 years 11 months ago
Face detection, pose estimation, and landmark localization in the wild
We present a unified model for face detection, pose estimation, and landmark estimation in real-world, cluttered images. Our model is based on a mixtures of trees with a shared p...
Xiangxin Zhu, Deva Ramanan
ECML
2004
Springer
14 years 2 months ago
Conditional Independence Trees
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
Harry Zhang, Jiang Su
ICML
2005
IEEE
14 years 10 months ago
Why skewing works: learning difficult Boolean functions with greedy tree learners
We analyze skewing, an approach that has been empirically observed to enable greedy decision tree learners to learn "difficult" Boolean functions, such as parity, in the...
Bernard Rosell, Lisa Hellerstein, Soumya Ray, Davi...
ACL
2009
13 years 7 months ago
Bayesian Learning of a Tree Substitution Grammar
Tree substitution grammars (TSGs) offer many advantages over context-free grammars (CFGs), but are hard to learn. Past approaches have resorted to heuristics. In this paper, we le...
Matt Post, Daniel Gildea
NAACL
2007
13 years 10 months ago
Tree Revision Learning for Dependency Parsing
We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...
Giuseppe Attardi, Massimiliano Ciaramita