23 search results - page 2 / 5 » Properties of the k-norm pruning algorithm for decision tree... |
SDM
2010
SIAM
13 years 7 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a formulation of the Decision Tree learning algorithm in the Compression settings and derive tight generalization error bounds. In particular, we propose Sample Compres...
ICAISC
2010
Springer
13 years 6 months ago
2010
Springer
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
ADMA
2006
Springer
13 years 8 months ago
2006
Springer
This paper presents a study on the combination of different classifiers for toxicity prediction. Two combination operators for the Multiple-Classifier System definition are also pr...
KI
2002
Springer
13 years 5 months ago
2002
Springer
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...