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PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
14 years 1 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
ECAI
2004
Springer
14 years 1 months ago
Explaining the Result of a Decision Tree to the End-User
This paper addresses the problem of the explanation of the result given by a decision tree, when it is used to predict the class of new cases. In order to evaluate this result, the...
Isabelle Alvarez
HICSS
2003
IEEE
91views Biometrics» more  HICSS 2003»
14 years 28 days ago
Strategic Investment Planning by Using Dynamic Decision Trees
In this paper we shall represent strategic planning problems by dynamic decision trees, in which the nodes are projects that can be deferred or postponed for a certain period of t...
Péter Majlender
AEI
2006
253views more  AEI 2006»
13 years 7 months ago
Computer based pedestrian landscape design using decision tree templates
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
Baranidharan Raman, Jody R. Naderi
ML
2000
ACM
13 years 7 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-...