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FLAIRS
2006
13 years 11 months ago
Some Second Order Effects on Interval Based Probabilities
In real-life decision analysis, the probabilities and values of consequences are in general vague and imprecise. One way to model imprecise probabilities is to represent a probabi...
David Sundgren, Mats Danielson, Love Ekenberg
IIS
2001
13 years 11 months ago
The Development of the AQ20 Learning System and Initial Experiments
: Research on a new system implementing the AQ learning methodology, called AQ20, is briefly described, and illustrated by initial results from an experimental version. Like its pr...
Guido Cervone, Liviu Panait, Ryszard S. Michalski
CSDA
2008
126views more  CSDA 2008»
13 years 10 months ago
A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required...
Christelle Reynès, Robert Sabatier, Nicolas...
CONSTRAINTS
2006
70views more  CONSTRAINTS 2006»
13 years 10 months ago
Stochastic Constraint Programming: A Scenario-Based Approach
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
Armagan Tarim, Suresh Manandhar, Toby Walsh
JCAMD
2010
82views more  JCAMD 2010»
13 years 8 months ago
Making priors a priority
When we build a predictive model of a drug property we rigorously assess its predictive accuracy, but we are rarely able to address the most important question, “How useful will...
Matthew Segall, Andrew Chadwick