{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:31:11Z","timestamp":1764783071311},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2008,7,29]],"date-time":"2008-07-29T00:00:00Z","timestamp":1217289600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genet Program Evolvable Mach"],"published-print":{"date-parts":[[2008,12]]},"DOI":"10.1007\/s10710-008-9067-9","type":"journal-article","created":{"date-parts":[[2008,7,28]],"date-time":"2008-07-28T19:57:21Z","timestamp":1217275041000},"page":"331-365","source":"Crossref","is-referenced-by-count":17,"title":["Coevolutionary bid-based genetic programming for problem decomposition in classification"],"prefix":"10.1007","volume":"9","author":[{"given":"Peter","family":"Lichodzijewski","sequence":"first","affiliation":[]},{"given":"Malcolm I.","family":"Heywood","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,7,29]]},"reference":[{"key":"9067_CR1","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"J.R. Koza","year":"1992","unstructured":"J.R. Koza, in Genetic Programming: On the Programming of Computers by Means of Natural Selection. (MIT Press, Cambridge, MA, 1992)"},{"key":"9067_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-04726-2","volume-title":"Foundations of Genetic Programming","author":"W.B. Langdon","year":"2002","unstructured":"W.B. Langdon, R. Poli, in Foundations of Genetic Programming (Springer-Verlag, Berlin, 2002)"},{"key":"9067_CR3","unstructured":"P.J. Angeline, J.B. Pollack, The evolutionary induction of subroutines, in Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society (Lawrence Erlbaum, Hillsdale, NJ, 1992), pp. 236\u2013241."},{"issue":"4","key":"9067_CR4","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1023\/A:1012978805372","volume":"2","author":"M. Brameier","year":"2001","unstructured":"M. Brameier, W. Banzhaf, Evolving teams of predictors with linear genetic programming. Genet. Program. Evolvable Mach. 2(4), 381\u2013407 (2001)","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"9067_CR5","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1007\/3-540-36599-0_41","volume-title":"Proceedings of the European Conference on Genetic Programming.","author":"T. Soule","year":"2003","unstructured":"T. Soule, in Cooperative Evolution on the Intertwined Spirals Problem, ed. by E. Cant\u00fa-Paz, J.A. Foster, K. Deb, L.D. Davis, R. Roy, U.-M. O\u2019Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, J. Wegener, D. Dasgupta, M.A. Potter, A.C. Schultz. Proceedings of the European Conference on Genetic Programming (Springer-Verlag, Berlin, 2003), pp. 434\u2013442"},{"key":"9067_CR6","first-page":"1708","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"R. Thomason","year":"2007","unstructured":"R. Thomason, T. Soule, in Novel Ways of Improving Cooperation and Performance in Ensemble Classifiers, ed. by D. Thierens, H.-G. Beyer, J. Bongard, J. Branke, J.A. Clark, D. Cliff, C.B. Congdon, K. Deb, B. Doerr, T. Kovacs, S. Kumar, J.F. Miller, J. Moore, F. Neumann, M. Pelikan, R. Poli, K. Sastry, K.O. Stanley, T. Stutzle, R.A. Watson, I. Wegener. Proceedings of the Genetic and Evolutionary Computation Conference. (ACM Press, New York, NY, 2007), pp. 1708\u20131715"},{"key":"9067_CR7","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1162\/106365604773955139","volume":"12","author":"E.D. De Jong","year":"2004","unstructured":"E.D. De Jong, J.B. Pollack, Ideal evaluation from coevolution. Evol. Comput. 12, 159\u2013192 (2004)","journal-title":"Evolutionary Computation"},{"key":"9067_CR8","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1007\/3-540-44811-X_34","volume-title":"Proceedings of the 6th European Conference on Advances in Artificial Life.","author":"S.G. Ficici","year":"2001","unstructured":"S.G. Ficici, J.B. Pollack, Pareto Optimality in Coevolutionary Learning, ed. by J. Kelemen, P. Sosik. Proceedings of the 6th European Conference on Advances in Artificial Life (Springer-Verlag, Berlin, 2001), pp. 316\u2013325"},{"key":"9067_CR9","first-page":"493","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"J. Noble","year":"2001","unstructured":"J. Noble, R.A. Watson, in Pareto Coevolution: Using Performance Against Coevolved Opponents in a Game as Dimensions for Pareto Selection, ed. by L. Spector, E.D. Goodman, A. Wu, W.B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M.H. Garzon, E. Burke. Proceedings of the Genetic and Evolutionary Computation Conference (Morgan Kaufmann, San Francisco, CA, 2001), pp. 493\u2013500"},{"key":"9067_CR10","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/978-3-540-71605-1_21","volume-title":"Proceedings of the European Conference on Genetic Programming.","author":"M. Lemczyk","year":"2007","unstructured":"M. Lemczyk, M.I. Heywood, in Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach, ed. by M. Ebner, M. O\u2019Neill, A. Ek\u00e1rt, L. Vanneschi, A.I. Esparcia-Alc\u00e1zar. Proceedings of the European Conference on Genetic Programming (Berlin, Springer-Verlag, 2007), pp. 229\u2013240"},{"key":"9067_CR11","first-page":"464","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"P. Lichodzijewski","year":"2007","unstructured":"P. Lichodzijewski, M.I. Heywood, in Pareto-coevolutionary Genetic Programming for Problem Decomposition in Multi-class Classification, ed. by D. Thierens, H.-G. Beyer, J. Bongard, J. Branke, J.A. Clark, D. Cliff, C.B. Congdon, K. Deb, B. Doerr, T. Kovacs, S. Kumar, J.F. Miller, J. Moore, F. Neumann, M. Pelikan, R. Poli, K. Sastry, K.O. Stanley, T. Stutzle, R.A. Watson, I. Wegener. Proceedings of the Genetic and Evolutionary Computation Conference (ACM Press, New York, NY, 2007), pp. 464\u2013471"},{"key":"9067_CR12","doi-asserted-by":"crossref","unstructured":"A. McIntyre, M.I. Heywood, in Multi-Objective Competitive Coevolution for Efficient GP Classifier Problem Decomposition. Proceedings of the International Conference on Systems, Man and Cybernetics (IEEE Press, 2007), pp. 1930\u20131937","DOI":"10.1109\/ICSMC.2007.4414009"},{"key":"9067_CR13","doi-asserted-by":"crossref","unstructured":"J.H. Holland, J.S. Reitman, Cognitive Systems Based on Adaptive Algorithms (Pattern Directed Inference Systems, 1978)","DOI":"10.1145\/1045343.1045373"},{"issue":"2","key":"9067_CR14","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1162\/evco.1995.3.2.149","volume":"3","author":"S. Wilson","year":"1995","unstructured":"S. Wilson, Classifier fitness based on accuracy. Evol. Comput. 3(2), 149\u2013175 (1995)","journal-title":"Evolutionary Computation"},{"key":"9067_CR15","unstructured":"C.-C. Chang, C.-J. Lin. LIBSVM: A Library for Support Vector Machines, Version 2.85 (2007), Software available at http:\/\/www.csie.ntu.edu.tw\/~cjlin\/libsvm"},{"issue":"1\u20132","key":"9067_CR16","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1023\/A:1007515423169","volume":"36","author":"E. Bauer","year":"1999","unstructured":"E. Bauer, R. Kohavi, An empirical comparison of voting classification algorithms: bagging, boosting, and variants. Mach. Learn. 36(1\u20132), 105\u2013139 (1999)","journal-title":"Machine Learning"},{"issue":"5","key":"9067_CR17","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1109\/TEVC.2005.863627","volume":"10","author":"G. Folino","year":"2006","unstructured":"G. Folino, C. Pizzuti, G. Spezzano, GP ensembles for large-scale data classification. IEEE Trans. Evol. Comput. 10(5), 604\u2013616 (2006)","journal-title":"IEEE Transactions on Evoluationary Computation"},{"key":"9067_CR18","first-page":"1053","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"H. Iba","year":"1999","unstructured":"H. Iba, in Bagging, Boosting and Bloating in Genetic Programming, ed. by W. Banzhaf, J. Daida, A.E. Eiben, M.H. Garzon, V. Honavar, M. Jakiela, R.E. Smith. Proceedings of the Genetic and Evolutionary Computation Conference (Morgan Kaufmann, San Francisco, CA, 1999), pp. 1053\u20131060"},{"issue":"3","key":"9067_CR19","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1023\/A:1025124423708","volume":"4","author":"K. Imamura","year":"2003","unstructured":"K. Imamura, T. Soule, R.B. Heckendorn, J.A. Foster, Behavioral diversity and a probabilistically optimal GP ensemble. Genet. Program. Evolvable Mach. 4(3), 235\u2013253 (2003)","journal-title":"Genetic Programming and Evolvable Machines"},{"key":"9067_CR20","first-page":"863","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"A.R. McIntyre","year":"2006","unstructured":"A.R. McIntyre, M.I. Heywood, in MOGE:GP Classification Problem Decomposition Using Multi-objective Optimization, ed. by M. Keijzer, M. Cattolico, D. Arnold, V. Babovic, C. Blum, P. Bosman, M.V. Butz, C. Coello Coello, D. Dasgupta, S.G. Ficici, J. Foster, A. Hernandez-Aguirre, G. Hornby, H. Lipson, P. McMinn, J. Moore, G. Raidl, R. Franz, C. Ryan, D. Thierens. Proceedings of the Genetic and Evolutionary Computation Conference (ACM Press, New York, NY, 2006), pp. 863\u2013870"},{"key":"9067_CR21","doi-asserted-by":"crossref","unstructured":"P.L. Lanzi, R.L. Riolo, Recent Trends in Learning Classifier Systems research. Advances in Evolutionary Computing: Theory and Applications (2003), pp. 955\u2013988","DOI":"10.1007\/b94229"},{"key":"9067_CR22","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/3-540-44640-0_15","volume-title":"IWLCS \u201900: Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems.","author":"M. Butz","year":"2001","unstructured":"M. Butz, S.W. Wilson, in An Algorithmic Description of XCS, ed. by P.L. Lanzi, W. Stolzmann, S.W. Wilson. IWLCS \u201900: Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems (Springer-Verlag, 2001, Berlin), pp. 253\u2013272"},{"issue":"3","key":"9067_CR23","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1162\/106365603322365315","volume":"11","author":"C. Stone","year":"2003","unstructured":"C. Stone, L. Bull, For real! XCS with continuous-valued inputs. Evol. Comput. 11(3), 299\u2013336 (2003)","journal-title":"Evolutionary Computation"},{"key":"9067_CR24","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/3-540-45027-0_11","volume-title":"Learning Classifier Systems, From Foundations to Applications.","author":"S.W. Wilson","year":"2000","unstructured":"S.W. Wilson, in Get Real! XCS With Continuous-Valued Inputs, ed. by L.P. Lanzi, W. Stolzmann, S.W. Wilson. Learning Classifier Systems, From Foundations to Applications. (Springer-Verlag, Berlin, 2000), pp. 209\u2013222"},{"key":"9067_CR25","doi-asserted-by":"crossref","unstructured":"A.J. Bagnall, G.C. Cawley, in Learning Classifier Systems for Data Mining: A Comparison of XCS with Other Classifiers for the Forest Cover Data Set, ed. by D.C. Wunsch, M. Hasselmo, K. Venayagamoorthy, D. Wang. Proceedings of the International Joint Conference on Neural Networks, vol 3 (IEEE Press, 2003), pp. 1802\u20131807","DOI":"10.1109\/IJCNN.2003.1223681"},{"key":"9067_CR26","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1162\/106365603322365289","volume":"11","author":"E. Bernado-Mansilla","year":"2003","unstructured":"E. Bernado-Mansilla, J.M. Garrell-Guiu, Accuracy-based learning classifier systems: models, analysis and applications to classification tasks. Evol. Comput. 11, 209\u2013238 (2003)","journal-title":"Evolutionary Computation"},{"key":"9067_CR27","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1007\/3-540-58484-6_275","volume-title":"Proceedings the Third Conference on Parallel Problem Solving from Nature.","author":"C. Gathercole","year":"1994","unstructured":"C. Gathercole, P. Ross, in Dynamic Training Subset Selection for Supervised Learning in Genetic Programming, ed. by Y. Davidor, H.-P. Schwefel, R. M\u00e4nner. Proceedings the Third Conference on Parallel Problem Solving from Nature (Springer-Verlag, Berlin, 1994), pp. 312\u2013321"},{"key":"9067_CR28","first-page":"1484","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"F.H. Bennett III","year":"1999","unstructured":"F.H. Bennett III, J.R. Koza, J. Shipman, O. Stiffelman, in Building a Parallel Computer System for $18,000 that Performs a Half Peta-flop Per Day, ed. by W. Banzhaf, J. Daida, A.E. Eiben, M.H. Garzon, V. Honavar, M. Jakiela, R.E. Smith. Proceedings of the Genetic and Evolutionary Computation Conference (Morgan Kaufmann, San Francisco, CA, 1999), pp. 1484\u20131490"},{"key":"9067_CR29","first-page":"339","volume":"2","author":"H. Juill\u00e9","year":"1996","unstructured":"H. Juill\u00e9, J.B. Pollack, Massively parallel genetic programming. Adv. Genet. Program. 2, 339\u2013357 (1996)","journal-title":"Advances in Genetic Programming"},{"issue":"4","key":"9067_CR30","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1109\/TSMCB.2007.896406","volume":"37","author":"R. Curry","year":"2007","unstructured":"R. Curry, P. Lichodzijewski, M.I. Heywood, Scaling Genetic Programming to large datasets using hierarchical dynamic subset selection. IEEE Trans. Syst. Man. Cybern. B Cybern. 37(4), 1065\u20131073 (2007)","journal-title":"IEEE Transactions on Systems, Man and Cybernetics\u2013Part B: Cybernetics"},{"issue":"3","key":"9067_CR31","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.841683","volume":"9","author":"D. Song","year":"2005","unstructured":"D. Song, M.I. Heywood, A.N. Zincir-Heywood, Training Genetic Programming on half a million patterns: An example from anomaly detection. IEEE Trans. Evol. Comput. 9(3), 225\u2013239 (2005)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"2","key":"9067_CR32","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1162\/106365604773955157","volume":"12","author":"C.W.G. Lasarczyk","year":"2004","unstructured":"C.W.G. Lasarczyk, P.W.G. Dittrich, W.W.G. Banzhaf, Dynamic subset selection based on a fitness case topology. Evol. Comput. 12(2), 223\u2013242 (2004)","journal-title":"Evolutionary Computation"},{"key":"9067_CR33","first-page":"146","volume-title":"Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning.","author":"D.-Y. Cho","year":"1998","unstructured":"D.-Y. Cho, B.-T. Zhang, in Genetic Programming with Active Data Selection, ed. by B. McKay, X. Yao, C.S. Newton, J.-H. Kim, T. Furuhashi. Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning (Springer-Verlag, London, UK, 1998), pp. 146\u2013153"},{"key":"9067_CR34","doi-asserted-by":"crossref","unstructured":"K. Tumer, D. Wolpert, A survey of collectives. Collectives and the Design of Complex Systems (2004), pp. 1\u201342","DOI":"10.1007\/978-1-4419-8909-3_1"},{"issue":"3","key":"9067_CR35","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s10458-005-2631-2","volume":"11","author":"L. Panait","year":"2005","unstructured":"L. Panait, S. Luke, Cooperative Multi-agent Learning: The State of the art. Auton. Agent. Multi. Agent. Syst. 11(3), 387\u2013434 (2005)","journal-title":"Autonomous Agents and Multi-Agent Systems"},{"issue":"6","key":"9067_CR36","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1109\/TEVC.2006.880330","volume":"10","author":"L. Panait","year":"2006","unstructured":"L. Panait, S. Luke, R.P. Wiegand, Biasing coevolutionary search for optimal multiagent behaviors. IEEE Trans. Evol. Comput. 10(6), 629\u2013645 (2006)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"9067_CR37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1162\/106365600568086","volume":"8","author":"M. Potter","year":"2000","unstructured":"M. Potter, K. de Jong, Cooperative coevolution: An architecture for evolving coadapted subcomponents. Evol. Comput. 8(1), 1\u201329 (2000)","journal-title":"Evolutionary Computation"},{"key":"9067_CR38","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/978-3-540-71605-1_13","volume-title":"Proceedings of the European Conference on Genetic Programming.","author":"P. Lichodzijewski","year":"2007","unstructured":"P. Lichodzijewski, M.I. Heywood, in GP Classifier Problem Decomposition Using First-price and Second-price Auctions, ed. by M. Ebner, M. O\u2019Neill, A. Ek\u00e1rt, L. Vanneschi, A.I. Esparcia-Alc\u00e1zar. Proceedings of the European Conference on Genetic Programming (Springer-Verlag, Berlin, 2007), pp. 137\u2013147"},{"issue":"3","key":"9067_CR39","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1162\/106365602760234108","volume":"10","author":"M. Laumanns","year":"2002","unstructured":"M. Laumanns, L. Thiele, K. Deb, E. Zitzler, Combining convergence and diversity in evolutionary multiobjective optimization. Evol. Comput. 10(3), 263\u2013282 (2002)","journal-title":"Evolutionary Computation"},{"key":"9067_CR40","volume-title":"Linear Genetic Programming","author":"M. Brameier","year":"2007","unstructured":"M. Brameier, W. Banzhaf, Linear Genetic Programming (Springer, New York, NY, 2007)"},{"key":"9067_CR41","first-page":"665","volume-title":"Genetic Programming 1998: Proceedings of the Third Annual Conference.","author":"S.W. Wilson","year":"1998","unstructured":"S.W. Wilson, in Generalization in the XCS Classifier System, ed. by J.R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. Fogel, M. Garzon, D.E. Goldberg, H. Iba, R. Riolo. Genetic Programming 1998: Proceedings of the Third Annual Conference (Morgan Kaufmann, San Francisco, CA, 1998), pp. 665\u2013674"},{"key":"9067_CR42","first-page":"1561","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"A. Orriols-Puig","year":"2006","unstructured":"A. Orriols-Puig, E. Bernado-Mansilla, in Bounding XCS\u2019s Parameters for Unbalanced Datasets, ed. by M. Keijzer, M. Cattolico, D. Arnold, V. Babovic, C. Blum, P. Bosman, M.V. Butz, C. Coello Coello, D. Dasgupta, S.G. Ficici, J. Foster, A. Hernandez-Aguirre, G. Hornby, H. Lipson, P. McMinn, J. Moore, G. Raidl, R. Franz, C. Ryan, D. Thierens. Proceedings of the Genetic and Evolutionary Computation Conference (ACM Press, New York, NY, 2006), pp. 1561\u20131568"},{"key":"9067_CR43","unstructured":"M.V. Butz. Documentation of XCS+TS C-Code 1.2. IlliGAL Technical Report 200323 (2003)"},{"key":"9067_CR44","first-page":"329","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"T. Kovacs","year":"1999","unstructured":"T. Kovacs, in Deletion Schemes for Classifier Systems, ed. by W. Banzhaf, J. Daida, A.E. Eiben, M.H. Garzon, V. Honavar, M. Jakiela, R.E. Smith. Proceedings of the Genetic and Evolutionary Computation Conference (Morgan Kaufmann, San Francisco, CA, 1999), pp. 329\u2013336"},{"key":"9067_CR45","first-page":"1857","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"M. Butz","year":"2003","unstructured":"M. Butz, K. Sastry, D.E. Goldberg, in Tournament Selection in XCS, ed. by E. Cant\u00fa-Paz, J.A. Foster, K. Deb, L.D. Davis, R. Roy, U.-M. O\u2019Reilly, H.-G. Beyer, R. Standish, G. Kendall, S. Wilson, J. Wegener, D. Dasgupta, M.A. Potter, A.C. Schultz. Proceedings of the Genetic and Evolutionary Computation Conference (Springer-Verlag, Berlin, 2003), pp. 1857\u20131869"},{"key":"9067_CR46","unstructured":"S. Hettich, S.D. Bay, The UCI KDD Archive (University of California, Dept. of Information and Comp. Science, Irvine, CA, 1999), http:\/\/kdd\/ics\/uci\/edu"},{"key":"9067_CR47","unstructured":"D.J. Newman, S. Hettich, C.L. Blake, C.J. Merz, UCI Repository of Machine Learning Databases (University of California, Dept. of Information and Comp. Science, Irvine, CA, 1998) http:\/\/www.ics.uci.edu\/\u223cmlearn\/mlrepository.html"},{"key":"9067_CR48","first-page":"6","volume-title":"AAAI-2006 Workshop on Evaluation Methods for Machine Learning, Technical Report WS-06-06.","author":"N. Japkowicz","year":"2006","unstructured":"N. Japkowicz, in Why Question Machine Learning Evaluation Methods? (An Illustrative Review of the Shortcomings of Current Methods), ed. by C. Drummond, W. Elazmeh, N. Japkowicz. AAAI-2006 Workshop on Evaluation Methods for Machine Learning, Technical Report WS-06-06 (AAAI Press, Menlo Park, CA, 2006), pp. 6\u201311"},{"key":"9067_CR49","unstructured":"G. Weiss, F. Provost, The Effect of Class Distribution on Classifier Learning. Technical Report ML-TR 43 (Department of Computer Science, Rutgers University, 2001)"},{"key":"9067_CR50","first-page":"1889","volume":"6","author":"R.-E. Fan","year":"2005","unstructured":"R.-E. Fan, P.-H. Chen, C.-J. Lin, Working set selection using second order information for training support vector machines. J. Mach. Learn. Res. 6, 1889\u20131918 (2005)","journal-title":"Journal of Machine Learning Research"},{"issue":"1","key":"9067_CR51","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/4235.910462","volume":"5","author":"M. Brameier","year":"2001","unstructured":"M. Brameier, W. Banzhaf, A comparison of linear genetic programming and neural networks in medical data mining. IEEE Trans. Evol. Comput. 5(1), 17\u201326 (2001)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"9067_CR52","first-page":"702","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"R.A. Watson","year":"2001","unstructured":"R.A. Watson, J.B. Pollack, in Coevolutionary Dynamics in a Minimal Substrate, ed. by L. Spector, E.D. Goodman, A. Wu, W.B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M.H. Garzon, E. Burke. Proceedings of the Genetic and Evolutionary Computation Conference (Morgan Kaufmann, San Francisco, CA, 2001), pp. 702\u2013709"},{"key":"9067_CR53","first-page":"945","volume-title":"Proceedings of the Genetic and Evolutionary Computation Conference.","author":"M. Lemczyk","year":"2006","unstructured":"M. Lemczyk, M.I. Heywood, in Pareto-coevolutionary Genetic Programming Classifier, ed. by M. Keijzer, M. Cattolico, D. Arnold, V. Babovic, C. Blum, P. Bosman, M.V. Butz, C. Coello Coello, D. Dasgupta, S.G. Ficici, J. Foster, A. Hernandez-Aguirre, G. Hornby, H. Lipson, P. McMinn, J. Moore, G. Raidl, R. Franz, C. Ryan, D. Thierens. Proceedings of the Genetic and Evolutionary Computation Conference (ACM Press, New York, NY, 2006), pp. 945\u2013946"}],"container-title":["Genetic Programming and Evolvable Machines"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10710-008-9067-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10710-008-9067-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10710-008-9067-9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,30]],"date-time":"2019-05-30T22:22:04Z","timestamp":1559254924000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10710-008-9067-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008,7,29]]},"references-count":53,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2008,12]]}},"alternative-id":["9067"],"URL":"https:\/\/doi.org\/10.1007\/s10710-008-9067-9","relation":{},"ISSN":["1389-2576","1573-7632"],"issn-type":[{"value":"1389-2576","type":"print"},{"value":"1573-7632","type":"electronic"}],"subject":[],"published":{"date-parts":[[2008,7,29]]}}}