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UAI
2004
15 years 8 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
FLAIRS
1998
15 years 8 months ago
Investigating the Validity of a Test Case Selection Methodology for Expert System Validation
Providing assurances of performance is an important aspect of successful development and commercialization of expert systems. However, this can only be done if the quality of the ...
Jan-Eike Michels, Thomas Abel, Rainer Knauf, Aveli...
BMCBI
2010
158views more  BMCBI 2010»
15 years 6 months ago
A Bayesian network approach to feature selection in mass spectrometry data
Background: Time-of-flight mass spectrometry (TOF-MS) has the potential to provide non-invasive, high-throughput screening for cancers and other serious diseases via detection of ...
Karl W. Kuschner, Dariya I. Malyarenko, William E....
BMCBI
2008
90views more  BMCBI 2008»
15 years 6 months ago
Function2Gene: A gene selection tool to increase the power of genetic association studies by utilizing public databases and expe
Background: Many common disorders have multiple genetic components which convey increased susceptibility. SNPs have been used to identify genetic components which are associated w...
Don L. Armstrong, Chaim O. Jacob, Raphael Zidovetz...
EOR
2006
148views more  EOR 2006»
15 years 6 months ago
Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
Karl F. Doerner, Walter J. Gutjahr, Richard F. Har...