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» Learning with Mixtures of Trees
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BMCBI
2011
13 years 4 months ago
Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
Kyle C. Chipman, Ambuj K. Singh
ECML
2004
Springer
14 years 2 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
CISSE
2008
Springer
13 years 11 months ago
Improved Induction Tree Training for Automatic Lexical Categorization
This paper studies a tuned version of an induction tree which is used for automatic detection of lexical word category. The database used to train the tree has several fields to de...
M. D. López De Luise, M. Soffer, F. Spelanz...
DATAMINE
1998
249views more  DATAMINE 1998»
13 years 9 months ago
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
Sreerama K. Murthy
JAIR
2008
120views more  JAIR 2008»
13 years 9 months ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch