Solving multiclass classification problems by genetic programming

WMSCI 2005 - The 9th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings

Volumn 1, Issue , 2005, Pages 48-53

  Winkler, Stephan ^a   Affenzeller, Michael ^a   Wagner, Stefan ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

Classification; Data mining; Genetic programming; Knowledge representation

Indexed keywords

BENCH-MARK PROBLEMS; CLASSIFICATION ALGORITHM; CLASSIFICATOR; EXTENDED VERSIONS; GENETIC OPERATORS; INPUT-OUTPUT; MULTICLASS CLASSIFICATION PROBLEMS; NOVEL FUNCTIONS; OPTIMIZATION PROBLEMS; PAPER DOCUMENTS; ROC CURVES; TRAINING SAMPLE; TWO CLASSIFICATION;

CLASSIFICATION (OF INFORMATION); CURVE FITTING; CYBERNETICS; DATA MINING; GENETIC ALGORITHMS; GENETIC PROGRAMMING; INFORMATION RETRIEVAL SYSTEMS; INFORMATION SCIENCE; KNOWLEDGE REPRESENTATION; QUALITY CONTROL;

PROBLEM SOLVING;

EID: 84867339795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. M. Affenzeller and S. Wagner, "SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results", Journal of Heuristics - Special Issue on New Advances on Parallel Meta-Heuristics for Complex Problems, Vol. 10, Kluwer Academic Publishers, 2004, pp. 239-263.
2. A. Bradley, "The Use of the Area under the ROC curve in the Evaluation of Machine Learning Algorithms", Pattern Recognition, Vol. 30, 1997, pp. 1145-1159.
3. U.M. Fayyad, G. Piatetsky-Shapiro and P. Smyth, "From Data Mining to Knowledge Discovery: An Overview", Advances in Knowledge Discovery and Data Mining, AAAI Press / MIT Press, 1996.
4. D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley Longman, 1989.
5. G. Gray et al., "Nonlinear Model Structure Identification Using Genetic Programming", Control Engineering Practice 6, 1998.
6. J. Hanley and B. McNeil, "The Meaning and Use of the Area under a Receiver Operating Characteristic (ROC) Curve", Radiology, Vol. 143, 1982, pp. 29-36.
7. st MIT Press ed., 1992.
8. J. Koza, Genetic Programming: On the Programming of Computers by means of Natural Selection, Cambridge, Mass: The MIT Press, 1992.
9. W. Langdon and R. Poli, Foundations of Genetic Programming, New York: Springer Verlag, 2002.
10. rd ed., Berlin Heidelberg New York: Springer Verlag, 1996.
11. T.M. Mitchell, Machine Learning, McGraw-Hill, 2000.
12. S. Wagner and M. Affenzeller, "HeuristicLab: A Generic and Extensible Optimization Environment", Proceedings of the International Conference on Adaptive and Natural Computing Algorithms (ICANNGA), 2005.
13. S. Winkler, M. Affenzeller and S. Wagner, "Identifying Nonlinear Model Structures Using Genetic Programming Techniques", Cybernetics and Systems 2004, Austrian Society for Cybernetic Studies, 2004, pp. 689-694.
14. S. Winkler, M. Affenzeller and S. Wagner, "New Methods for the Identification of Nonlinear Model Structures Based Upon Genetic Programming Techniques", Proceedings of the 15th International Conference on Systems Science, Vol. 1, Oficyna Wydawnicza Politechniki Wroclawskiej, 2004, pp. 386-393.
15. S. Winkler, Identification of Nonlinear Model Structures by Genetic Programming Techniques, diploma thesis, Institut für Systemtheorie und Simulation, Technisch Naturwissenschaftliche Fakultät der Johannes Kepler Universität, Linz, Austria, 2004.