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HICSS
2003
IEEE
91views Biometrics» more  HICSS 2003»
13 years 10 months 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
LCPC
2004
Springer
13 years 10 months ago
Branch Strategies to Optimize Decision Trees for Wide-Issue Architectures
Abstract. Branch predictors are associated with critical design issues for nowadays instruction greedy processors. We study two important domains where the optimization of decision...
Patrick Carribault, Christophe Lemuet, Jean-Thomas...
ECML
2004
Springer
13 years 10 months ago
Sensitivity Analysis of the Result in Binary Decision Trees
This paper 3 proposes a new method to qualify the result given by a decision tree when it is used as a decision aid system. When the data are numerical, we compute the distance of ...
Isabelle Alvarez
ECAI
2004
Springer
13 years 10 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
CASDMKM
2004
Springer
147views Data Mining» more  CASDMKM 2004»
13 years 10 months ago
Data Set Balancing
This paper conducts experiments with three skewed data sets, seeking to demonstrate problems when skewed data is used, and identifying counter problems when data is balanced. The b...
David L. Olson
ECML
2005
Springer
13 years 10 months ago
Simple Test Strategies for Cost-Sensitive Decision Trees
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
Shengli Sheng, Charles X. Ling, Qiang Yang
ECML
2005
Springer
13 years 10 months ago
A Comparison of Approaches for Learning Probability Trees
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
Daan Fierens, Jan Ramon, Hendrik Blockeel, Maurice...
DIS
2005
Springer
13 years 10 months ago
Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree
Abstract. Behavioral sequences of the medaka (Oryzias latipes) were continuously investigated through an automatic image recognition system in response to medaka treated with the i...
Sengtai Lee, Jeehoon Kim, Jae-Yeon Baek, Man-Wi Ha...
ISM
2005
IEEE
138views Multimedia» more  ISM 2005»
13 years 10 months ago
Investigation of Combining SVM and Decision Tree for Emotion Classification
This paper discusses the use of a combination of support vector machine and decision tree learning for recognizing four emotions in speech, which are Neutral, Angry, Lombard, and ...
Thao Nguyen, Mingkun Li, Iris Bass, Ishwar K. Seth...
ICDM
2005
IEEE
143views Data Mining» more  ICDM 2005»
13 years 10 months ago
Effective Estimation of Posterior Probabilities: Explaining the Accuracy of Randomized Decision Tree Approaches
There has been increasing number of independently proposed randomization methods in different stages of decision tree construction to build multiple trees. Randomized decision tre...
Wei Fan, Ed Greengrass, Joe McCloskey, Philip S. Y...