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» Improving Stability of Decision Trees
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FLAIRS
2006
13 years 11 months ago
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
CDC
2009
IEEE
183views Control Systems» more  CDC 2009»
14 years 1 months ago
Algorithms and stability analysis for content distribution over multiple multicast trees
Abstract— The paper investigates theoretical issues in applying the universal swarming technique to efficient content distribution. In a swarming session, a file is distributed...
Xiaoying Zheng, Chunglae Cho, Ye Xia
AAAI
1990
13 years 11 months ago
What Should Be Minimized in a Decision Tree?
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Usama M. Fayyad, Keki B. Irani
BMCBI
2008
134views more  BMCBI 2008»
13 years 10 months ago
Stability analysis of mixtures of mutagenetic trees
Background: Mixture models of mutagenetic trees are evolutionary models that capture several pathways of ordered accumulation of genetic events observed in different subsets of pa...
Jasmina Bogojeska, Thomas Lengauer, Jörg Rahn...
ICDE
2009
IEEE
151views Database» more  ICDE 2009»
14 years 11 months ago
Decision Trees for Uncertain Data
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
Smith Tsang, Ben Kao, Kevin Y. Yip, Wai-Shing Ho, ...