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» Learning DNF by Decision Trees
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ICML
2004
IEEE
15 years 10 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
IJCSS
2000
79views more  IJCSS 2000»
14 years 9 months ago
Impact of learning set quality and size on decision tree performances
Abstract. The quality of a decision tree is usually evaluated through its complexity and its generalization accuracy. Tree-simpli
Marc Sebban, Richard Nock, Jean-Hugues Chauchat, R...
IJCNN
2007
IEEE
15 years 4 months ago
Transfer Learning in Decision Trees
— Most research in machine learning focuses on scenarios in which a learner faces a single learning task, independently of other learning tasks or prior knowledge. In reality, ho...
Jun Won Lee, Christophe G. Giraud-Carrier
ML
2008
ACM
135views Machine Learning» more  ML 2008»
14 years 9 months ago
Compiling pattern matching to good decision trees
We address the issue of compiling ML pattern matching to compact and efficient decisions trees. Traditionally, compilation to decision trees is optimized by (1) implementing decis...
Luc Maranget