Sciweavers

216 search results - page 19 / 44
» Decision Tree with Better Ranking
Sort
View
ISSRE
2007
IEEE
13 years 11 months ago
Using Machine Learning to Support Debugging with Tarantula
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
Lionel C. Briand, Yvan Labiche, Xuetao Liu
BMCBI
2005
152views more  BMCBI 2005»
13 years 9 months ago
Ranking the whole MEDLINE database according to a large training set using text indexing
Background: The MEDLINE database contains over 12 million references to scientific literature, ut 3/4 of recent articles including an abstract of the publication. Retrieval of ent...
Brian P. Suomela, Miguel A. Andrade
ML
2000
ACM
185views Machine Learning» more  ML 2000»
13 years 9 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
CSDA
2008
128views more  CSDA 2008»
13 years 10 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
ICPR
2002
IEEE
14 years 2 months ago
Tree Pruning for Output Coded Ensembles
Output Coding is a method of converting a multiclass problem into several binary subproblems and gives an ensemble of binary classifiers. Like other ensemble methods, its perform...
Terry Windeatt, Gholamreza Ardeshir