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Volumn 180, Issue 8, 2010, Pages 1183-1200

GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems

Author keywords

Classification; Fuzzy rule based systems; Genetic fuzzy systems; Genetic programming; High dimensional problems; Interpretability accuracy trade off

Indexed keywords

COMPACT SETS; COMPETITION MECHANISM; COMPETITIVE LEARNING; DISJUNCTIVE NORMAL FORM; FUZZY RULE BASED CLASSIFICATION SYSTEMS; FUZZY RULE-BASED SYSTEMS; GENETIC FUZZY SYSTEMS; HIGH-DIMENSIONAL PROBLEMS; INTERPRETABILITY; NON-PARAMETRIC STATISTICAL TESTS; ONE-RULE; RULE BASE;

EID: 75149139352     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2009.12.020     Document Type: Article
Times cited : (111)

References (72)
  • 3
    • 0013435861 scopus 로고    scopus 로고
    • Evolutionary design of fuzzy logic controllers using strongly-typed GP
    • Alba E., Cotta C., and Troya J. Evolutionary design of fuzzy logic controllers using strongly-typed GP. Mathware and Soft Computing 6 (1999) 109-124
    • (1999) Mathware and Soft Computing , vol.6 , pp. 109-124
    • Alba, E.1    Cotta, C.2    Troya, J.3
  • 4
    • 33751166396 scopus 로고    scopus 로고
    • Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation
    • Alcalá R., Alcalá-Fdez J., Herrera F., and Otero J. Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. International Journal of Approximate Reasoning 44 1 (2007) 45-64
    • (2007) International Journal of Approximate Reasoning , vol.44 , Issue.1 , pp. 45-64
    • Alcalá, R.1    Alcalá-Fdez, J.2    Herrera, F.3    Otero, J.4
  • 6
    • 75149176851 scopus 로고    scopus 로고
    • A. Asuncion, D. Newman, UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences, 2007, .
    • A. Asuncion, D. Newman, UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences, 2007, .
  • 7
    • 33746263175 scopus 로고    scopus 로고
    • A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems
    • 8th International Conference on Artificial Intelligence and Soft Computing (ICAISC'06), Springer-Verlag
    • Berlanga F., del Jesus M., Gacto M., and Herrera F. A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems. 8th International Conference on Artificial Intelligence and Soft Computing (ICAISC'06). LNCS vol. 4029 (2006), Springer-Verlag 182-191
    • (2006) LNCS , vol.4029 , pp. 182-191
    • Berlanga, F.1    del Jesus, M.2    Gacto, M.3    Herrera, F.4
  • 8
    • 50149112892 scopus 로고    scopus 로고
    • Learning fuzzy rules using genetic programming: Context-free grammar definition for high-dimensionality problems
    • Granada, Spain
    • F. Berlanga, M. del Jesus, F. Herrera, Learning fuzzy rules using genetic programming: context-free grammar definition for high-dimensionality problems, in: Proceedings of the I Workshop on Genetic Fuzzy Systems (GFS'05), Granada, Spain, 2005, pp. 136-141.
    • (2005) Proceedings of the I Workshop on Genetic Fuzzy Systems (GFS'05) , pp. 136-141
    • Berlanga, F.1    del Jesus, M.2    Herrera, F.3
  • 10
    • 58049217458 scopus 로고    scopus 로고
    • Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index
    • Botta A., Lazzerini B., Marcelloni F., and Stefanescu D. Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index. Soft Computing 13 5 (2009) 437-449
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 437-449
    • Botta, A.1    Lazzerini, B.2    Marcelloni, F.3    Stefanescu, D.4
  • 11
    • 33751332990 scopus 로고    scopus 로고
    • Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: an ecological case study
    • Broekhoven E.V., Adriaenssens V., and Baets B.D. Interpretability-preserving genetic optimization of linguistic terms in fuzzy models for fuzzy ordered classification: an ecological case study. International Journal of Approximate Reasoning 44 1 (2007) 65-90
    • (2007) International Journal of Approximate Reasoning , vol.44 , Issue.1 , pp. 65-90
    • Broekhoven, E.V.1    Adriaenssens, V.2    Baets, B.D.3
  • 12
    • 33845982223 scopus 로고    scopus 로고
    • Evolutionary stratified training set selection for extracting classification rules with trade-off precision-interpretability
    • Cano J., Herrera F., and Lozano M. Evolutionary stratified training set selection for extracting classification rules with trade-off precision-interpretability. Data and Knowledge Engineering 60 (2007) 90-108
    • (2007) Data and Knowledge Engineering , vol.60 , pp. 90-108
    • Cano, J.1    Herrera, F.2    Lozano, M.3
  • 14
    • 58049213906 scopus 로고    scopus 로고
    • Special issue on genetic fuzzy systems: recent developments and future directions
    • Casillas J., and Carse B. Special issue on genetic fuzzy systems: recent developments and future directions. Soft Computing 13 5 (2009) 417-418
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 417-418
    • Casillas, J.1    Carse, B.2
  • 16
    • 14644430392 scopus 로고    scopus 로고
    • Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
    • Casillas J., Cordón O., del Jesus M., and Herrera F. Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Transactions on Fuzzy Systems 13 1 (2005) 13-29
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.1 , pp. 13-29
    • Casillas, J.1    Cordón, O.2    del Jesus, M.3    Herrera, F.4
  • 17
    • 33645283722 scopus 로고    scopus 로고
    • Casillas J., Cordón O., Herrera F., and Magdalena L. (Eds), Springer-Verlag
    • In: Casillas J., Cordón O., Herrera F., and Magdalena L. (Eds). Accuracy Improvements in Linguistic Fuzzy Modeling. Studies in Fuzziness and Soft Computing vol. 129 (2003), Springer-Verlag
    • (2003) Studies in Fuzziness and Soft Computing , vol.129
  • 18
    • 33645283722 scopus 로고    scopus 로고
    • Casillas J., Cordón O., Herrera F., and Magdalena L. (Eds), Springer-Verlag
    • In: Casillas J., Cordón O., Herrera F., and Magdalena L. (Eds). Interpretability Issues in Fuzzy Modeling. Studies in Fuzziness and Soft Computing vol. 128 (2003), Springer-Verlag
    • (2003) Studies in Fuzziness and Soft Computing , vol.128
  • 20
    • 45849098303 scopus 로고    scopus 로고
    • An information granulation based data mining approach for classifying imbalanced data
    • Chen M.-C., Chen L.-S., Hsu C.-C., and Zeng W.-R. An information granulation based data mining approach for classifying imbalanced data. Information Sciences 178 16 (2008) 3214-3227
    • (2008) Information Sciences , vol.178 , Issue.16 , pp. 3214-3227
    • Chen, M.-C.1    Chen, L.-S.2    Hsu, C.-C.3    Zeng, W.-R.4
  • 22
    • 0036641224 scopus 로고    scopus 로고
    • Learning discriminant functions with fuzzy attributes for classification using genetic programming
    • Chien B.-C., Lin J., and Hong T.-P. Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Systems with Applications 23 1 (2002) 31-37
    • (2002) Expert Systems with Applications , vol.23 , Issue.1 , pp. 31-37
    • Chien, B.-C.1    Lin, J.2    Hong, T.-P.3
  • 23
    • 0031999494 scopus 로고    scopus 로고
    • Combinatorial rule explosion eliminated by a fuzzy rule configuration
    • Combs W., and Andrews J. Combinatorial rule explosion eliminated by a fuzzy rule configuration. IEEE Transactions on Fuzzy Systems 6 1 (1998) 1-11
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , Issue.1 , pp. 1-11
    • Combs, W.1    Andrews, J.2
  • 26
    • 0033317446 scopus 로고    scopus 로고
    • MOGUL: a methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach
    • Cordón O., del Jesus M., Herrera F., and Lozano M. MOGUL: a methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach. International Journal of Intelligent Systems 14 11 (1999) 1123-1153
    • (1999) International Journal of Intelligent Systems , vol.14 , Issue.11 , pp. 1123-1153
    • Cordón, O.1    del Jesus, M.2    Herrera, F.3    Lozano, M.4
  • 28
    • 0035415952 scopus 로고    scopus 로고
    • Generating the knowledge base of a fuzzy rule-based system by the genetic learning of data base
    • Cordón O., Herrera F., and Villar P. Generating the knowledge base of a fuzzy rule-based system by the genetic learning of data base. IEEE Transactions on Fuzzy Systems 9 4 (2001) 664-667
    • (2001) IEEE Transactions on Fuzzy Systems , vol.9 , Issue.4 , pp. 664-667
    • Cordón, O.1    Herrera, F.2    Villar, P.3
  • 29
    • 0036475811 scopus 로고    scopus 로고
    • Linguistic modeling by hierarchical systems of linguistic rules
    • Cordón O., Herrera F., and Zwir I. Linguistic modeling by hierarchical systems of linguistic rules. IEEE Transactions on Fuzzy Systems 10 1 (2002) 2-20
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.1 , pp. 2-20
    • Cordón, O.1    Herrera, F.2    Zwir, I.3
  • 30
    • 58049194220 scopus 로고    scopus 로고
    • A neuro-coevolutionary genetic fuzzy system to build soft sensors
    • Delgado M., Nagai E., and de Arruda L.R. A neuro-coevolutionary genetic fuzzy system to build soft sensors. Soft Computing 13 5 (2009) 481-495
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 481-495
    • Delgado, M.1    Nagai, E.2    de Arruda, L.R.3
  • 31
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demšar J. Statistical comparisons of classifiers over multiple data sets. Journal of Machine Learning Research 7 (2006) 1-30
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demšar, J.1
  • 32
    • 46849096083 scopus 로고    scopus 로고
    • A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets
    • Fernández A., García S., del Jesus M., and Herrera F. A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets. Fuzzy Sets and Systems 159 18 (2008) 2378-2398
    • (2008) Fuzzy Sets and Systems , vol.159 , Issue.18 , pp. 2378-2398
    • Fernández, A.1    García, S.2    del Jesus, M.3    Herrera, F.4
  • 33
    • 58049200709 scopus 로고    scopus 로고
    • Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems
    • Gacto M., Alcalá R., and Herrera F. Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Computing 13 5 (2009) 419-436
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 419-436
    • Gacto, M.1    Alcalá, R.2    Herrera, F.3
  • 34
    • 70349270458 scopus 로고    scopus 로고
    • A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization
    • García S., Molina D., Lozano M., and Herrera F. A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 special session on real parameter optimization. Journal of Heuristics 15 (2009) 617-644
    • (2009) Journal of Heuristics , vol.15 , pp. 617-644
    • García, S.1    Molina, D.2    Lozano, M.3    Herrera, F.4
  • 37
    • 34548411298 scopus 로고    scopus 로고
    • Improving interpretability in approximative fuzzy models via multiobjective evolutionary algorithms
    • Gómez-Skarmeta A., Jiménez F., and Sánchez G. Improving interpretability in approximative fuzzy models via multiobjective evolutionary algorithms. International Journal of Intelligent Systems 22 9 (2007) 943-969
    • (2007) International Journal of Intelligent Systems , vol.22 , Issue.9 , pp. 943-969
    • Gómez-Skarmeta, A.1    Jiménez, F.2    Sánchez, G.3
  • 39
    • 33751198956 scopus 로고    scopus 로고
    • Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
    • González J., Rojas I., Pomares H., Herrera L., Guillén A., Palomares J., and Rojas F. Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms. International Journal of Approximate Reasoning 44 1 (2007) 32-44
    • (2007) International Journal of Approximate Reasoning , vol.44 , Issue.1 , pp. 32-44
    • González, J.1    Rojas, I.2    Pomares, H.3    Herrera, L.4    Guillén, A.5    Palomares, J.6    Rojas, F.7
  • 40
    • 48049093694 scopus 로고    scopus 로고
    • Subspace based feature selection for pattern recognition
    • Gunal S., and Edizkan R. Subspace based feature selection for pattern recognition. Information Sciences 178 19 (2008) 3716-3726
    • (2008) Information Sciences , vol.178 , Issue.19 , pp. 3716-3726
    • Gunal, S.1    Edizkan, R.2
  • 41
    • 50149096917 scopus 로고    scopus 로고
    • Genetic fuzzy systems: taxonomy, current research trends and prospects
    • Herrera F. Genetic fuzzy systems: taxonomy, current research trends and prospects. Evolutionary Intelligence 1 (2008) 27-46
    • (2008) Evolutionary Intelligence , vol.1 , pp. 27-46
    • Herrera, F.1
  • 44
    • 0000719509 scopus 로고    scopus 로고
    • Voting in fuzzy rule-based systems for pattern classification problems
    • Ishibuchi H., Nakashima T., and Morisawa T. Voting in fuzzy rule-based systems for pattern classification problems. Fuzzy Sets and Systems 103 2 (1999) 223-238
    • (1999) Fuzzy Sets and Systems , vol.103 , Issue.2 , pp. 223-238
    • Ishibuchi, H.1    Nakashima, T.2    Morisawa, T.3
  • 45
    • 0032597810 scopus 로고    scopus 로고
    • Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space
    • Ishibuchi H., Nakashima T., and Murata T. Design of accurate classifiers with a compact fuzzy-rule base using an evolutionary scatter partition of feature space. IEEE Transactions on Systems, Man and Cybernetics, Part B 29 5 (1999) 601-618
    • (1999) IEEE Transactions on Systems, Man and Cybernetics, Part B , vol.29 , Issue.5 , pp. 601-618
    • Ishibuchi, H.1    Nakashima, T.2    Murata, T.3
  • 47
    • 33751186914 scopus 로고    scopus 로고
    • Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
    • Ishibuchi H., and Nojima Y. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning. International Journal of Approximate Reasoning 44 1 (2007) 4-31
    • (2007) International Journal of Approximate Reasoning , vol.44 , Issue.1 , pp. 4-31
    • Ishibuchi, H.1    Nojima, Y.2
  • 48
    • 0346781550 scopus 로고    scopus 로고
    • Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining
    • Ishibuchi H., and Yamamoto T. Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining. Fuzzy Sets and Systems 141 1 (2004) 59-88
    • (2004) Fuzzy Sets and Systems , vol.141 , Issue.1 , pp. 59-88
    • Ishibuchi, H.1    Yamamoto, T.2
  • 49
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • Ishibuchi H., and Yamamoto T. Rule weight specification in fuzzy rule-based classification systems. IEEE Transactions on Fuzzy Systems 13 4 (2005) 428-435
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.4 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 50
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Kohavi R., and John G. Wrappers for feature subset selection. Artificial Intelligence 97 1-2 (1997) 273-324
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 51
    • 34250327454 scopus 로고    scopus 로고
    • Population variation in genetic programming
    • Kouchakpour P., Zaknich A., and Bräunl T. Population variation in genetic programming. Information Sciences 177 17 (2007) 3438-3452
    • (2007) Information Sciences , vol.177 , Issue.17 , pp. 3438-3452
    • Kouchakpour, P.1    Zaknich, A.2    Bräunl, T.3
  • 52
    • 59149100146 scopus 로고    scopus 로고
    • Dynamic population variation in genetic programming
    • Kouchakpour P., Zaknich A., and Bräunl T. Dynamic population variation in genetic programming. Information Sciences 179 8 (2009) 1078-1091
    • (2009) Information Sciences , vol.179 , Issue.8 , pp. 1078-1091
    • Kouchakpour, P.1    Zaknich, A.2    Bräunl, T.3
  • 54
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • Liu H., and Yu L. Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering 17 3 (2005) 491-502
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.3 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 55
    • 75149189017 scopus 로고    scopus 로고
    • A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems
    • Principles of Data Mining and Knowledge Discovery: 5th European Conference (PKDD'01), Springer-Verlag
    • Mendes R., de Voznika F.B., Freitas A., and Nievola J. A genetic-programming-based approach for the learning of compact fuzzy rule-based classification systems. Principles of Data Mining and Knowledge Discovery: 5th European Conference (PKDD'01). LNCS vol. 2168 (2001), Springer-Verlag 314-325
    • (2001) LNCS , vol.2168 , pp. 314-325
    • Mendes, R.1    de Voznika, F.B.2    Freitas, A.3    Nievola, J.4
  • 56
    • 58049221181 scopus 로고    scopus 로고
    • Processing time estimations by variable structure TSK rules learned through genetic programming
    • Mucientes M., Vidal J.C., Bugarín A., and Lama M. Processing time estimations by variable structure TSK rules learned through genetic programming. Soft Computing 13 5 (2009) 497-509
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 497-509
    • Mucientes, M.1    Vidal, J.C.2    Bugarín, A.3    Lama, M.4
  • 57
    • 58049215502 scopus 로고    scopus 로고
    • Parallel distributed genetic fuzzy rule selection
    • Nojima Y., Ishibuchi H., and Kuwajima I. Parallel distributed genetic fuzzy rule selection. Soft Computing 13 5 (2009) 511-519
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 511-519
    • Nojima, Y.1    Ishibuchi, H.2    Kuwajima, I.3
  • 58
    • 0034325513 scopus 로고    scopus 로고
    • Pattern classification with principal component analysis and fuzzy rule bases
    • Ravi V., Reddy P., and Zimmermann H. Pattern classification with principal component analysis and fuzzy rule bases. European Journal of Operational Research 126 3 (2000) 526-533
    • (2000) European Journal of Operational Research , vol.126 , Issue.3 , pp. 526-533
    • Ravi, V.1    Reddy, P.2    Zimmermann, H.3
  • 59
    • 0033906947 scopus 로고    scopus 로고
    • Fuzzy rule based classification with FeatureSelector and modified threshold accepting
    • Ravi V., and Zimmermann H. Fuzzy rule based classification with FeatureSelector and modified threshold accepting. European Journal of Operational Research 123 1 (2000) 16-28
    • (2000) European Journal of Operational Research , vol.123 , Issue.1 , pp. 16-28
    • Ravi, V.1    Zimmermann, H.2
  • 60
    • 0013387676 scopus 로고    scopus 로고
    • Niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction
    • Sánchez L., and Corrales J. Niching scheme for steady state GA-P and its application to fuzzy rule based classifiers induction. Mathware and Soft Computing 7 2-3 (2000) 337-350
    • (2000) Mathware and Soft Computing , vol.7 , Issue.2-3 , pp. 337-350
    • Sánchez, L.1    Corrales, J.2
  • 61
    • 34548230003 scopus 로고    scopus 로고
    • Advocating the use of imprecisely observed data in genetic fuzzy systems
    • Sánchez L., and Couso I. Advocating the use of imprecisely observed data in genetic fuzzy systems. IEEE Transactions on Fuzzy Systems 15 4 (2007) 551-562
    • (2007) IEEE Transactions on Fuzzy Systems , vol.15 , Issue.4 , pp. 551-562
    • Sánchez, L.1    Couso, I.2
  • 62
    • 0035426475 scopus 로고    scopus 로고
    • Combining GP operators with SA search to evolve fuzzy rule based classifiers
    • Sánchez L., Couso I., and Corrales J. Combining GP operators with SA search to evolve fuzzy rule based classifiers. Information Sciences 136 1-4 (2001) 175-191
    • (2001) Information Sciences , vol.136 , Issue.1-4 , pp. 175-191
    • Sánchez, L.1    Couso, I.2    Corrales, J.3
  • 63
    • 34548389246 scopus 로고    scopus 로고
    • Boosting fuzzy rules in classification problems under single-winner inference
    • Sánchez L., and Otero J. Boosting fuzzy rules in classification problems under single-winner inference. International Journal of Intelligent Systems 22 9 (2007) 1021-1034
    • (2007) International Journal of Intelligent Systems , vol.22 , Issue.9 , pp. 1021-1034
    • Sánchez, L.1    Otero, J.2
  • 64
    • 58049192988 scopus 로고    scopus 로고
    • Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms
    • Sánchez L., Otero J., and Couso I. Obtaining linguistic fuzzy rule-based regression models from imprecise data with multiobjective genetic algorithms. Soft Computing 13 5 (2009) 467-479
    • (2009) Soft Computing , vol.13 , Issue.5 , pp. 467-479
    • Sánchez, L.1    Otero, J.2    Couso, I.3
  • 68
    • 29744455079 scopus 로고    scopus 로고
    • A comparison of classification accuracy of four genetic programming-evolved intelligent structures
    • Tsakonas A. A comparison of classification accuracy of four genetic programming-evolved intelligent structures. Information Sciences 176 6 (2006) 691-724
    • (2006) Information Sciences , vol.176 , Issue.6 , pp. 691-724
    • Tsakonas, A.1
  • 70
    • 0001387704 scopus 로고
    • Classifier fitness based on accuracy
    • Wilson S. Classifier fitness based on accuracy. Evolutionary Computation 3 2 (1995) 149-175
    • (1995) Evolutionary Computation , vol.3 , Issue.2 , pp. 149-175
    • Wilson, S.1
  • 72
    • 67650995440 scopus 로고    scopus 로고
    • Feature selection for multi-label naive Bayes classification
    • Zhang M.-L., Peña J.M., and Robles V. Feature selection for multi-label naive Bayes classification. Information Sciences 179 19 (2009) 3218-3229
    • (2009) Information Sciences , vol.179 , Issue.19 , pp. 3218-3229
    • Zhang, M.-L.1    Peña, J.M.2    Robles, V.3


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