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» Learning DNF by Decision Trees
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ECML
1995
Springer
14 years 1 months ago
Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract)
Floriana Esposito, Donato Malerba, Giovanni Semera...
ICML
2003
IEEE
14 years 10 months ago
Boosting Lazy Decision Trees
This paper explores the problem of how to construct lazy decision tree ensembles. We present and empirically evaluate a relevancebased boosting-style algorithm that builds a lazy ...
Xiaoli Zhang Fern, Carla E. Brodley
ECML
2007
Springer
14 years 1 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
COLT
2003
Springer
14 years 3 months ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio
INTERSPEECH
2010
13 years 4 months ago
Modeling liaison in French by using decision trees
French is known to be a language with major pronunciation irregularities at word endings with consonants. Particularly, the well-known phonetic phenomenon called Liaison is one of...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...