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» Generating Better Decision Trees
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ICML
2003
IEEE
13 years 10 months ago
Decision Tree with Better Ranking
AUC(Area Under the Curve) of ROC(Receiver Operating Characteristics) has been recently used as a measure for ranking performanceof learning algorithms. In this paper, wepresent a ...
Charles X. Ling, Robert J. Yan
SDM
2010
SIAM
184views Data Mining» more  SDM 2010»
13 years 6 months ago
A Robust Decision Tree Algorithm for Imbalanced Data Sets
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...
Wei Liu, Sanjay Chawla, David A. Cieslak, Nitesh V...
ICLP
1992
Springer
13 years 9 months ago
Weighted Decision Trees
: Whiledecision tree compilationis a promisingway tocarry out guard tests e ciently, the methods given in the literature do not take into account either the execution characteristi...
Saumya K. Debray, Sampath Kannan, Mukul Paithane
ECAI
2008
Springer
13 years 7 months ago
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Many ensemble methods, such as Bagging, Boosting, Random Forest, etc, have been proposed and widely used in real world applications. Some of them are better than others on noisefre...
Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo
CEC
2010
IEEE
13 years 6 months ago
Improving GP classification performance by injection of decision trees
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Rikard König, Ulf Johansson, Tuve Löfstr...