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Volumn 6, Issue 3, 2007, Pages 455-480

Advanced genetic programming based machine learning

Author keywords

Data mining; Evolutionary algorithms; Genetic programming

Indexed keywords


EID: 34547728724     PISSN: 15701166     EISSN: 15729214     Source Type: Journal    
DOI: 10.1007/s10852-007-9065-6     Document Type: Article
Times cited : (32)

References (31)
  • 1
    • 3543051475 scopus 로고    scopus 로고
    • Segregative Genetic Algorithms (SEGA): A hybrid superstructure upwards compatible to genetic algorithms for retarding premature convergence
    • Affenzeller, M.: Segregative Genetic Algorithms (SEGA): a hybrid superstructure upwards compatible to genetic algorithms for retarding premature convergence. Int. J. Comput. Syst. Signal 2(1), 18-32 (2001)
    • (2001) Int. J. Comput. Syst. Signal , vol.2 , Issue.1 , pp. 18-32
    • Affenzeller, M.1
  • 3
    • 3543109085 scopus 로고    scopus 로고
    • Affenzeller, M., Wagner, S.: 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) 10, 239-263 (2004)
    • Affenzeller, M., Wagner, S.: 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) 10, 239-263 (2004)
  • 4
    • 33847091233 scopus 로고    scopus 로고
    • Offspring selection: A new self-adaptive selection scheme for genetic algorithms
    • Affenzeller, M., Wagner, S.: Offspring selection: a new self-adaptive selection scheme for genetic algorithms. In: Adaptive and Natural Computing Algorithms, pp. 218-221 (2005)
    • (2005) Adaptive and Natural Computing Algorithms , pp. 218-221
    • Affenzeller, M.1    Wagner, S.2
  • 7
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A.: The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recogn. 30, 1145-1159 (1997)
    • (1997) Pattern Recogn , vol.30 , pp. 1145-1159
    • Bradley, A.1
  • 11
    • 0028338155 scopus 로고
    • An introduction to simulated evolutionary optimization
    • Fogel, D.B.: An introduction to simulated evolutionary optimization. IEEE Trans. Neural Netw. 5(1), 3-14 (1994)
    • (1994) IEEE Trans. Neural Netw , vol.5 , Issue.1 , pp. 3-14
    • Fogel, D.B.1
  • 13
    • 34547735631 scopus 로고    scopus 로고
    • Implementation and comparison of growing neural das, growing cell structures and fuzzy artmap
    • 0945-7518, Technische Universität Ilmenau
    • Hamker, F., Heinke, D.: Implementation and comparison of growing neural das, growing cell structures and fuzzy artmap. Technical Report ISSN 0945-7518, Technische Universität Ilmenau, (1997)
    • (1997) Technical Report ISSN
    • Hamker, F.1    Heinke, D.2
  • 14
    • 0020083498 scopus 로고
    • The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve
    • Hanley, J.A., McNeil, B.J.: The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology 143, 29-36 (1982)
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 15
    • 34547758871 scopus 로고    scopus 로고
    • Analysis in Artificial Intelligence
    • eds, ROCAI-20042004
    • Hernández-Orallo, J., Ferri, C., Lachiche, C. Flach, P.(eds): Analysis in Artificial Intelligence. In: 1st International Workshop ROCAI-2004(2004)
    • 1st International Workshop
  • 16
    • 33646868492 scopus 로고    scopus 로고
    • Classification, regression, and feature selection on matrix data
    • 1436-9915, Department of Electrical Engineering and Computer Science, Technische Universität Berlin
    • Hochreiter, S., Obermayer, K.: Classification, regression, and feature selection on matrix data. Technical Report ISSN 1436-9915, Department of Electrical Engineering and Computer Science, Technische Universität Berlin (2004)
    • (2004) Technical Report ISSN
    • Hochreiter, S.1    Obermayer, K.2
  • 19
    • 34547797569 scopus 로고    scopus 로고
    • Kohavi, R., Provost, F.: Glossary of terms. Mach. Learn. (Special Issue on Applications of Machine Learning and the Knowledge Discovery Process) 30, 271-274 (1998)
    • Kohavi, R., Provost, F.: Glossary of terms. Mach. Learn. (Special Issue on Applications of Machine Learning and the Knowledge Discovery Process) 30, 271-274 (1998)
  • 26
    • 34547784140 scopus 로고    scopus 로고
    • Identification of nonlinear model structures by genetic programming techniques. Master's thesis, Institut für Systemtheorie und Simulation, Technisch-Naturwissenschaftliche Fakultät der Johannes Kepler Universität, Linz, Austria
    • Winkler, S.: Identification of nonlinear model structures by genetic programming techniques. Master's thesis, Institut für Systemtheorie und Simulation, Technisch-Naturwissenschaftliche Fakultät der Johannes Kepler Universität, Linz, Austria, (2004)
    • (2004)
    • Winkler, S.1
  • 27
    • 33644899709 scopus 로고    scopus 로고
    • New methods for the identification of nonlinear model structures based upon genetic programming techniques
    • Winkler, S., Affenzeller, M., Wagner, S.: New methods for the identification of nonlinear model structures based upon genetic programming techniques. J. Syst. Sci. 31(1), 5-13 (2005)
    • (2005) J. Syst. Sci , vol.31 , Issue.1 , pp. 5-13
    • Winkler, S.1    Affenzeller, M.2    Wagner, S.3
  • 28
    • 34547766662 scopus 로고    scopus 로고
    • Winkler, S., Affenzeller, M., Wagner, S.: Automatic data based patient classification using genetic programming. Cybern. Syst. (Austrian Society for Cybernetic Studies) 1, 251-256 (2006)
    • Winkler, S., Affenzeller, M., Wagner, S.: Automatic data based patient classification using genetic programming. Cybern. Syst. (Austrian Society for Cybernetic Studies) 1, 251-256 (2006)
  • 29
    • 33750254566 scopus 로고    scopus 로고
    • Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis - an empirical study
    • paper no. WKSP115. The Association for Computing Machinery ACM, New York
    • Winkler, S., Affenzeller, M., Wagner, S.: Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis - an empirical study. In: Proceedings of the GECCO 2006 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC 2006), paper no. WKSP115. The Association for Computing Machinery (ACM), New York (2006)
    • (2006) Proceedings of the GECCO 2006 Workshop on Medical Applications of Genetic and Evolutionary Computation (MedGEC
    • Winkler, S.1    Affenzeller, M.2    Wagner, S.3
  • 30
    • 33750268594 scopus 로고    scopus 로고
    • Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
    • The Association for Computing Machinery ACM, New York
    • Winkler, S., Affenzeller, M., Wagner, S.: Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. In: Proceedings of the Genetic and Evolutionary Computation Conference 2006, vol. 2, pp. 1601-1602. The Association for Computing Machinery (ACM), New York (2005)
    • (2005) Proceedings of the Genetic and Evolutionary Computation Conference , vol.2 , pp. 1601-1602
    • Winkler, S.1    Affenzeller, M.2    Wagner, S.3
  • 31
    • 0027457620 scopus 로고
    • Receiver-Operating Characteristic (ROC) plots: A fundamental evaluation tool in clinical medicine
    • Zweig, M.H., Campbell, G.: Receiver-Operating Characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin. Chem. 39(4), 551-577 (1993)
    • (1993) Clin. Chem , vol.39 , Issue.4 , pp. 551-577
    • Zweig, M.H.1    Campbell, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.