{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T11:41:28Z","timestamp":1725882088340},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319556956"},{"type":"electronic","value":"9783319556963"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-55696-3_6","type":"book-chapter","created":{"date-parts":[[2017,3,14]],"date-time":"2017-03-14T14:53:48Z","timestamp":1489503228000},"page":"80-95","source":"Crossref","is-referenced-by-count":9,"title":["A General Feature Engineering Wrapper for Machine Learning Using $$\\epsilon $$ -Lexicase Survival"],"prefix":"10.1007","author":[{"given":"William","family":"La Cava","sequence":"first","affiliation":[]},{"given":"Jason","family":"Moore","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,3,15]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Arnaldo, I., O\u2019Reilly, U.M., Veeramachaneni, K.: Building predictive models via feature synthesis, pp. 983\u2013990. ACM Press (2015)","DOI":"10.1145\/2739480.2754693"},{"issue":"8","key":"6_CR2","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TPAMI.2013.50","volume":"35","author":"Y Bengio","year":"2013","unstructured":"Bengio, Y., Courville, A., Vincent, P.: Representation learning: a review and new perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 35(8), 1798\u20131828 (2013)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"De Melo, V.V.: Kaizen programming, pp. 895\u2013902. ACM Press (2014)","DOI":"10.1145\/2576768.2598264"},{"key":"6_CR4","unstructured":"Foster, D., Karloff, H., Thaler, J.: Variable selection is hard. In: Proceedings of The 28th Conference on Learning Theory, pp. 696\u2013709 (2015)"},{"key":"6_CR5","series-title":"Springer series in statistics","volume-title":"The elements of statistical learning","author":"J Friedman","year":"2001","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: The elements of statistical learning. Springer series in statistics, vol. 1. Springer, Berlin (2001)"},{"key":"6_CR6","first-page":"1157","volume":"3","author":"I Guyon","year":"2003","unstructured":"Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3, 1157\u20131182 (2003)","journal-title":"J. Mach. Learn. Res."},{"issue":"1","key":"6_CR7","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0095-0696(78)90006-2","volume":"5","author":"D Harrison","year":"1978","unstructured":"Harrison, D., Rubinfeld, D.L.: Hedonic housing prices and the demand for clean air. J. Environ. Econ. Manage. 5(1), 81\u2013102 (1978)","journal-title":"J. Environ. Econ. Manage."},{"issue":"99","key":"6_CR8","first-page":"1","volume":"PP","author":"T Helmuth","year":"2014","unstructured":"Helmuth, T., Spector, L., Matheson, J.: Solving uncompromising problems with lexicase selection. IEEE Trans. Evol. Comput. PP(99), 1\u20131 (2014)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"6_CR9","unstructured":"Iba, H., Sato, T.: Genetic Programming with Local Hill-Climbing. Tech. Rep. ETL-TR-94-4, Electrotechnical Laboratory, 1-1-4 Umezono, Tsukuba-city, Ibaraki, 305, Japan (1994). http:\/\/www.cs.ucl.ac.uk\/staff\/W.Langdon\/ftp\/papers\/Iba_1994_GPlHC.pdf"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Icke, I., Bongard, J.C.: Improving genetic programming based symbolic regression using deterministic machine learning. In: IEEE Congress on Evolutionary Computation (CEC), 2013, pp. 1763\u20131770. IEEE (2013)","DOI":"10.1109\/CEC.2013.6557774"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Kamath, U., Lin, J., De Jong, K.: SAX-EFG: an evolutionary feature generation framework for time series classification, pp. 533\u2013540. ACM Press (2014)","DOI":"10.1145\/2576768.2598321"},{"key":"6_CR12","doi-asserted-by":"crossref","first-page":"1121","DOI":"10.1145\/2464576.2482691","volume-title":"Proceeding of the Fifteenth Annual Conference Companion on Genetic and Evolutionary Computation Conference Companion","author":"M Kommenda","year":"2013","unstructured":"Kommenda, M., Kronberger, G., Winkler, S., Affenzeller, M., Wagner, S.: Effects of constant optimization by nonlinear least squares minimization in symbolic regression. In: Blum, C., Alba, E., Bartz-Beielstein, T., Loiacono, D., Luna, F., Mehnen, J., Ochoa, G., Preuss, M., Tantar, E., Vanneschi, L. (eds.) GECCO 2013 Companion, pp. 1121\u20131128. ACM, Amsterdam (2013)"},{"key":"6_CR13","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1016\/j.renene.2015.09.068","volume":"87","author":"W Cava La","year":"2016","unstructured":"La Cava, W., Danai, K., Spector, L., Fleming, P., Wright, A., Lackner, M.: Automatic identification of wind turbine models using evolutionary multiobjective optimization. Renew. Energy Part 2 87, 892\u2013902 (2016)","journal-title":"Renew. Energy Part 2"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"La Cava, W., Spector, L., Danai, K.: Epsilon-Lexicase Selection for Regression, pp. 741\u2013748. ACM Press (2016)","DOI":"10.1145\/2908812.2908898"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Liskowski, P., Krawiec, K., Helmuth, T., Spector, L.: Comparison of semantic-aware selection methods in genetic programming. In: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, GECCO Companion 2015, pp. 1301\u20131307. ACM, New York (2015)","DOI":"10.1145\/2739482.2768505"},{"key":"6_CR16","series-title":"Genetic and Evolutionary Computation","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1007\/978-1-4614-1770-5_13","volume-title":"Genetic Programming Theory and Practice IX","author":"T McConaghy","year":"2011","unstructured":"McConaghy, T.: FFX: fast, scalable, deterministic symbolic regression technology. In: Riolo, R., Vladislavleva, E., Moore, J.H. (eds.) Genetic Programming Theory and Practice IX. Genetic and Evolutionary Computation, pp. 235\u2013260. Springer, New York (2011)"},{"issue":"11","key":"6_CR17","doi-asserted-by":"crossref","first-page":"1518","DOI":"10.1109\/TKDE.2005.182","volume":"17","author":"M Muharram","year":"2005","unstructured":"Muharram, M., Smith, G.D.: Evolutionary constructive induction. IEEE Trans. Knowl. Data Eng. 17(11), 1518\u20131528 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"6_CR18","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"933","DOI":"10.1007\/978-3-540-24581-0_80","volume-title":"AI 2003: Advances in Artificial Intelligence","author":"MA Muharram","year":"2003","unstructured":"Muharram, M.A., Smith, G.D.: The effect of evolved attributes on classification algorithms. In: Gedeon, T.T.D., Fung, L.C.C. (eds.) AI 2003. LNCS (LNAI), vol. 2903, pp. 933\u2013941. Springer, Heidelberg (2003). doi: 10.1007\/978-3-540-24581-0_80"},{"key":"6_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/978-3-540-24650-3_36","volume-title":"Genetic Programming","author":"MA Muharram","year":"2004","unstructured":"Muharram, M.A., Smith, G.D.: Evolutionary feature construction using information gain and gini index. In: Keijzer, M., O\u2019Reilly, U.-M., Lucas, S., Costa, E., Soule, T. (eds.) EuroGP 2004. LNCS, vol. 3003, pp. 379\u2013388. Springer, Heidelberg (2004). doi: 10.1007\/978-3-540-24650-3_36"},{"key":"6_CR20","unstructured":"Olson, R.S., Bartley, N., Urbanowicz, R.J., Moore, J.H.: Evaluation of a tree-based pipeline optimization tool for automating data science. arXiv preprint (2016). http:\/\/arxiv.org\/abs\/1603.06212"},{"key":"6_CR21","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"6_CR22","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/S0377-2217(01)00264-8","volume":"141","author":"M Redmond","year":"2002","unstructured":"Redmond, M., Baveja, A.: A data-driven software tool for enabling cooperative information sharing among police departments. Eur. J. Oper. Res. 141(3), 660\u2013678 (2002)","journal-title":"Eur. J. Oper. Res."},{"key":"6_CR23","doi-asserted-by":"crossref","unstructured":"Spector, L.: Assessment of problem modality by differential performance of lexicase selection in genetic programming: a preliminary report. In: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computation Conference Companion, pp. 401\u2013408 (2012)","DOI":"10.1145\/2330784.2330846"},{"issue":"6","key":"6_CR24","doi-asserted-by":"crossref","first-page":"565","DOI":"10.1109\/4235.974840","volume":"5","author":"KC Tan","year":"2001","unstructured":"Tan, K.C., Lee, T.H., Khor, E.F.: Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization. IEEE Trans. Evol. Comput. 5(6), 565\u2013588 (2001)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"6_CR25","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani, R.: Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B (Methodological) 58, 267\u2013288 (1996)","journal-title":"J. R. Stat. Soc. Ser. B (Methodological)"},{"key":"6_CR26","unstructured":"Topchy, A., Punch, W.F.: Faster genetic programming based on local gradient search of numeric leaf values. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 155\u2013162 (2001)"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Torres-Sospedra, J., Montoliu, R., Martnez-Us, A., Avariento, J.P., Arnau, T.J., Benedito-Bordonau, M., Huerta, J.: UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems. In: 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 261\u2013270. IEEE (2014)","DOI":"10.1109\/IPIN.2014.7275492"},{"key":"6_CR28","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1016\/j.enbuild.2012.03.003","volume":"49","author":"A Tsanas","year":"2012","unstructured":"Tsanas, A., Xifara, A.: Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools. Energy Build. 49, 560\u2013567 (2012)","journal-title":"Energy Build."},{"key":"6_CR29","unstructured":"Vanneschi, L., Cuccu, G.: A study of genetic programming variable population size for dynamic optimization problems. In: International Conference on Evolutionary Computation (ICEC 2009), pp. 119\u2013126. Madeira, Portugal (2009)"},{"issue":"2","key":"6_CR30","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1109\/TEVC.2008.926486","volume":"13","author":"E Vladislavleva","year":"2009","unstructured":"Vladislavleva, E., Smits, G., Hertog, D.: Order of nonlinearity as a complexity measure for models generated by symbolic regression via pareto genetic programming. IEEE Trans. Evol. Comput. 13(2), 333\u2013349 (2009)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"6_CR31","doi-asserted-by":"crossref","unstructured":"White, D.R., McDermott, J., Castelli, M., Manzoni, L., Goldman, B.W., Kronberger, G., Jakowski, W., O\u2019Reilly, U.M., Luke, S.: Better GP benchmarks: community survey results and proposals. Genet. Program. Evolvable Mach. 14(1), 3\u201329 (2012)","DOI":"10.1007\/s10710-012-9177-2"}],"container-title":["Lecture Notes in Computer Science","Genetic Programming"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-55696-3_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,22]],"date-time":"2024-06-22T23:43:36Z","timestamp":1719099816000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-55696-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319556956","9783319556963"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-55696-3_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}