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AAAI
2012
12 years 1 months ago
Towards Discovering What Patterns Trigger What Labels
In many real applications, especially those involving data objects with complicated semantics, it is generally desirable to discover the relation between patterns in the input spa...
Yu-Feng Li, Ju-Hua Hu, Yuang Jiang, Zhi-Hua Zhou
ACL
2009
13 years 8 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
ICML
2001
IEEE
14 years 11 months ago
Breeding Decision Trees Using Evolutionary Techniques
Athanassios Papagelis, Dimitrios Kalles
IDA
2009
Springer
13 years 8 months ago
Isotonic Classification Trees
Abstract. We propose a new algorithm for learning isotonic classification trees. It relabels non-monotone leaf nodes by performing the isotonic regression on the collection of leaf...
Rémon van de Kamp, Ad Feelders, Nicola Bari...
ICIP
2009
IEEE
13 years 8 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li