{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T05:24:57Z","timestamp":1769923497242,"version":"3.49.0"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642329364","type":"print"},{"value":"9783642329371","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-32937-1_44","type":"book-chapter","created":{"date-parts":[[2012,8,25]],"date-time":"2012-08-25T18:49:02Z","timestamp":1345920542000},"page":"438-447","source":"Crossref","is-referenced-by-count":17,"title":["Controlling Overfitting in Symbolic Regression Based on a Bias\/Variance Error Decomposition"],"prefix":"10.1007","author":[{"given":"Alexandros","family":"Agapitos","sequence":"first","affiliation":[]},{"given":"Anthony","family":"Brabazon","sequence":"additional","affiliation":[]},{"given":"Michael","family":"O\u2019Neill","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"44_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1007\/978-3-642-15844-5_30","volume-title":"Parallel Problem Solving from Nature, PPSN XI","author":"A. Agapitos","year":"2010","unstructured":"Agapitos, A., O\u2019Neill, M., Brabazon, A.: Evolutionary Learning of Technical Trading Rules without Data-Mining Bias. In: Schaefer, R., Cotta, C., Ko\u0142odziej, J., Rudolph, G. (eds.) PPSN XI, Part I. LNCS, vol.\u00a06238, pp. 294\u2013303. Springer, Heidelberg (2010)"},{"key":"44_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-3-642-20407-4_6","volume-title":"Genetic Programming","author":"A. Agapitos","year":"2011","unstructured":"Agapitos, A., O\u2019Neill, M., Brabazon, A., Theodoridis, T.: Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning. In: Silva, S., Foster, J.A., Nicolau, M., Machado, P., Giacobini, M. (eds.) EuroGP 2011. LNCS, vol.\u00a06621, pp. 61\u201372. Springer, Heidelberg (2011)"},{"key":"44_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/3-540-61723-X_994","volume-title":"Parallel Problem Solving from Nature - PPSN IV","author":"W. Banzhaf","year":"1996","unstructured":"Banzhaf, W., Francone, F.D., Nordin, P.: The Effect of Extensive Use of the Mutation Operator on Generalization in Genetic Programming Using Sparse Data Sets. In: Ebeling, W., Rechenberg, I., Voigt, H.-M., Schwefel, H.-P. (eds.) PPSN IV. LNCS, vol.\u00a01141, pp. 300\u2013309. Springer, Heidelberg (1996)"},{"key":"44_CR4","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer (2006)"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Castelli, M., Manzoni, L., Silva, S., Vanneschi, L.: A comparison of the generalization ability of different genetic programming frameworks. In: IEEE Congress on Evolutionary Computation (CEC 2010), July 18-23. IEEE Press, Barcelona (2010)","DOI":"10.1109\/CEC.2010.5585925"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"Efron, B., Tibshirani, R.: An introduction to the bootstrap. Chapman and Hall (1993)","DOI":"10.1007\/978-1-4899-4541-9"},{"key":"44_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1007\/3-540-36599-0_7","volume-title":"Genetic Programming","author":"M. Keijzer","year":"2003","unstructured":"Keijzer, M.: Improving Symbolic Regression with Interval Arithmetic and Linear Scaling. In: Ryan, C., Soule, T., Keijzer, M., Tsang, E.P.K., Poli, R., Costa, E. (eds.) EuroGP 2003. LNCS, vol.\u00a02610, pp. 70\u201382. Springer, Heidelberg (2003)"},{"key":"44_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1007\/978-3-540-46239-2_6","volume-title":"Genetic Programming","author":"M. Keijzer","year":"2000","unstructured":"Keijzer, M., Babovic, V.: Genetic Programming, Ensemble Methods and the Bias\/Variance Tradeoff - Introductory Investigations. In: Poli, R., Banzhaf, W., Langdon, W.B., Miller, J., Nordin, P., Fogarty, T.C. (eds.) EuroGP 2000. LNCS, vol.\u00a01802, pp. 76\u201390. Springer, Heidelberg (2000)"},{"key":"44_CR9","unstructured":"Poli, R., Langdon, W.B., McPhee, N.F.: A field guide to genetic programming. Published via \n                    \n                      http:\/\/lulu.com\n                    \n                    \n                   and freely available at \n                    \n                      http:\/\/www.gp-field-guide.org.uk\n                    \n                    \n                   (2008), \n                    \n                      http:\/\/www.gp-field-guide.org.uk\n                    \n                    \n                  , (With contributions by J. R. Koza)"},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Theodoridis, T., Agapitos, A., Hu, H.: A gaussian groundplan projection area model for evolving probabilistic classifiers. In: Genetic and Evolutionary Computation Conference, GECCO 2011, July 12-16. ACM, Dublin (2011) (forthcoming)","DOI":"10.1145\/2001576.2001757"},{"key":"44_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1007\/978-3-642-20520-0_13","volume-title":"Applications of Evolutionary Computation","author":"C. Tuite","year":"2011","unstructured":"Tuite, C., Agapitos, A., O\u2019Neill, M., Brabazon, A.: A Preliminary Investigation of Overfitting in Evolutionary Driven Model Induction: Implications for Financial Modelling. In: Di Chio, C., Brabazon, A., Di Caro, G.A., Drechsler, R., Farooq, M., Grahl, J., Greenfield, G., Prins, C., Romero, J., Squillero, G., Tarantino, E., Tettamanzi, A.G.B., Urquhart, N., Uyar, A.\u015e. (eds.) EvoApplications 2011, Part II. LNCS, vol.\u00a06625, pp. 120\u2013130. Springer, Heidelberg (2011)"},{"key":"44_CR12","series-title":"SCI","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1007\/978-3-642-23336-4_8","volume-title":"Natural Computing in Computational Finance","author":"C. Tuite","year":"2011","unstructured":"Tuite, C., Agapitos, A., O\u2019Neill, M., Brabazon, A.: Tackling Overfitting in Evolutionary-Driven Financial Model Induction. In: Brabazon, A., O\u2019Neill, M., Maringer, D. (eds.) Natural Computing in Computational Finance. SCI, vol.\u00a0380, pp. 141\u2013161. Springer, Heidelberg (2011)"},{"issue":"2","key":"44_CR13","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1109\/TEVC.2008.926486","volume":"13","author":"E.J. Vladislavleva","year":"2009","unstructured":"Vladislavleva, E.J., Smits, G.F., den Hertog, D.: Order of nonlinearity as a complexity measure for models generated by symbolic regression via pareto genetic programming. IEEE Transactions on Evolutionary Computation\u00a013(2), 333\u2013349 (2009)","journal-title":"IEEE Transactions on Evolutionary Computation"}],"container-title":["Lecture Notes in Computer Science","Parallel Problem Solving from Nature - PPSN XII"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-32937-1_44.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T11:49:22Z","timestamp":1620128962000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-32937-1_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642329364","9783642329371"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-32937-1_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}