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ML
2000
ACM
13 years 8 months ago
Enlarging the Margins in Perceptron Decision Trees
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and co...
Kristin P. Bennett, Nello Cristianini, John Shawe-...
ICDIM
2007
IEEE
14 years 3 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
AUSAI
1998
Springer
14 years 28 days ago
The Problem of Missing Values in Decision Tree Grafting
Decision tree grafting adds nodes to inferred decision trees. Previous research has demonstrated that appropriate grafting techniques can improve predictive accuracy across a wide ...
Geoffrey I. Webb
ISMB
1996
13 years 10 months ago
Finding Genes in DNA Using Decision Trees and Dynamic Programming
This study demonstratesthe use of decision tree classifiers as the basis for a general gene-finding system. The system uses a dynamic programmingalgorithm that. finds the optimal ...
Steven Salzberg, Xin Chen, John Henderson, Kenneth...
COMSIS
2006
156views more  COMSIS 2006»
13 years 8 months ago
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
Kristína Machova, Miroslav Puszta, Frantise...