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ESANN
2006
15 years 8 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
CMPB
2007
86views more  CMPB 2007»
15 years 6 months ago
Monte Carlo simulation of latanoprost induced iris darkening
We show that it is possible to construct numerical models of eye colour from first principles. Our initial model assumes that the important optical interactions occur only in the a...
K. P. B. Cracknell, Damian J. J. Farnell, I. Grier...
ROCAI
2004
Springer
16 years 1 days ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
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BMCBI
2010
113views more  BMCBI 2010»
15 years 6 months ago
Gene prioritization and clustering by multi-view text mining
Background: Text mining has become a useful tool for biologists trying to understand the genetics of diseases. In particular, it can help identify the most interesting candidate g...
Shi Yu, Léon-Charles Tranchevent, Bart De M...
BMCBI
2006
205views more  BMCBI 2006»
15 years 6 months ago
Application of Petri net based analysis techniques to signal transduction pathways
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Andrea Sackmann, Monika Heiner, Ina Koch