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» The Alternating Decision Tree Learning Algorithm
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KI
2002
Springer
14 years 11 months ago
Incremental Fuzzy Decision Trees
Abstract. We present a new classification algorithm that combines three properties: It generates decision trees, which proved a valuable and intelligible tool for classification an...
Marina Guetova, Steffen Hölldobler, Hans-Pete...
CP
2009
Springer
16 years 10 days ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
PAKDD
2001
ACM
104views Data Mining» more  PAKDD 2001»
15 years 4 months ago
Optimizing the Induction of Alternating Decision Trees
The alternating decision tree brings comprehensibility to the performance enhancing capabilities of boosting. A single interpretable tree is induced wherein knowledge is distribute...
Bernhard Pfahringer, Geoffrey Holmes, Richard Kirk...
FLAIRS
2001
15 years 1 months ago
Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study
Therehasbeensurprisinglylittle researchso far that systematicallyinvestigatedthe possibilityof constructinghybrid learningalgorithmsbysimplelocal modificationsto decision tree lea...
Alexander K. Seewald, Johann Petrak, Gerhard Widme...
IJCAI
2003
15 years 1 months ago
Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction
This paper presents a novel, promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions. Lookahead is the st...
David Page, Soumya Ray