Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling
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- @InProceedings{2037,
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author = "Stephan M. Winkler and Michael Affenzeller and
Gabriel K. Kronberger and Michael Kommenda and
Stefan Wagner and Witold Jacak and Herbert Stekel",
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title = "Analysis of Selected Evolutionary Algorithms in
Feature Selection and Parameter Optimization for Data
Based Tumor Marker Modeling",
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booktitle = "Proceedings of International Conference on Computer
Aided Systems Theory, EUROCAST 2011",
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year = "2011",
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editor = "Roberto Moreno-Diaz and Franz Pichler and
Alexis Quesada-Arencibia",
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volume = "6927",
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series = "Lecture Notes in Computer Science",
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pages = "335--342",
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address = "Las Palmas, Spain",
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month = feb,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-27549-4",
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URL = "https://link.springer.com/chapter/10.1007/978-3-642-27549-4_43",
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DOI = "doi:10.1007/978-3-642-27549-4_43",
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abstract = "In this paper we report on the use of evolutionary
algorithms for optimizing the identification of
classification models for selected tumour markers. Our
goal is to identify mathematical models that can be
used for classifying tumor marker values as normal or
as elevated; evolutionary algorithms are used for
optimizing the parameters for learning classification
models. The sets of variables used as well as the
parameter settings for concrete modelling methods are
optimized using evolution strategies and genetic
algorithms. The performance of these algorithms is
analysed as well as the population diversity progress.
In the empirical part of this paper we document
modeling results achieved for tumor markers CA 125 and
CYFRA using a medical data base provided by the Central
Laboratory of the General Hospital Linz; empirical
tests are executed using HeuristicLab.",
- }
Genetic Programming entries for
Stephan M Winkler
Michael Affenzeller
Gabriel Kronberger
Michael Kommenda
Stefan Wagner
Witold Jacak
Herbert Stekel
Citations