{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T00:51:04Z","timestamp":1774918264796,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T00:00:00Z","timestamp":1183766400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2007,7,7]]},"DOI":"10.1145\/1276958.1277289","type":"proceedings-article","created":{"date-parts":[[2007,12,7]],"date-time":"2007-12-07T19:19:41Z","timestamp":1197055181000},"page":"1680-1685","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Learning noise"],"prefix":"10.1145","author":[{"given":"Michael D.","family":"Schmidt","sequence":"first","affiliation":[{"name":"Cornell University, Ithaca, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hod","family":"Lipson","sequence":"additional","affiliation":[{"name":"Cornell University, Ithaca, NY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2007,7,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"GECCO Late Breaking Paper","author":"Schmidt M.","year":"2005","unstructured":"Schmidt , M. , and Lipson , H . \" Coevolution of Fitness Maximizers and Fitness Predictors \", GECCO Late Breaking Paper , 2005 . Schmidt, M., and Lipson, H. \"Coevolution of Fitness Maximizers and Fitness Predictors\", GECCO Late Breaking Paper, 2005."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/106365603322365306"},{"key":"e_1_3_2_1_4_1","volume-title":"Modeling and Analysis of Stochastic Systems","author":"Kulkarni","year":"1995","unstructured":"V.G. Kulkarni , Modeling and Analysis of Stochastic Systems . Chapman Hall , 1995 . V.G. Kulkarni, Modeling and Analysis of Stochastic Systems. Chapman Hall, 1995."},{"key":"e_1_3_2_1_5_1","first-page":"479","volume":"198","author":"Schafer WM","unstructured":"Schafer , WM , Ellner S , Kot M. \" Effects of noise on some dynamical models in ecology. J Math Biology 198 6;24: 479 -- 523 . Schafer, WM, Ellner S, Kot M. \"Effects of noise on some dynamical models in ecology. J Math Biology 1986;24:479--523.","journal-title":"J Math Biology"},{"key":"e_1_3_2_1_6_1","volume-title":"Arlington, VA","author":"Theiler J.","year":"1991","unstructured":"Theiler , J. , Galdrikian , B. , Longtin , A. , Eubank , S. and farmer, J.D. ( 1991 ) \" Detecting non--linear structure in time series.\" First Experimental Chaos Conference , Arlington, VA Theiler, J., Galdrikian, B., Longtin, A., Eubank, S. and farmer, J.D. (1991) \"Detecting non--linear structure in time series.\" First Experimental Chaos Conference, Arlington, VA"},{"key":"e_1_3_2_1_7_1","volume-title":"Genetic Programming: On the Programming of Computers by Means of Natural Selection","author":"Koza J.R.","year":"1992","unstructured":"Koza , J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection . Cambridge, MA : The MIT Press , 1992 . Koza, J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection. Cambridge, MA: The MIT Press, 1992."},{"key":"e_1_3_2_1_8_1","volume-title":"Symbolic Regression via Genetic Programming,\" VI Brazilian Symposium on Neural Networks (SBRN'00), 01: 22--01","author":"Augusto D. A.","year":"2000","unstructured":"Augusto D. A. and Barbosa H. J. C . \" Symbolic Regression via Genetic Programming,\" VI Brazilian Symposium on Neural Networks (SBRN'00), 01: 22--01 , 2000 . Augusto D. A. and Barbosa H. J. C. \"Symbolic Regression via Genetic Programming,\" VI Brazilian Symposium on Neural Networks (SBRN'00), 01: 22--01, 2000."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Kleijnen Jack P.C. \"White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice\" CentER Discussion Paper No. 2006--50.  Kleijnen Jack P.C. \"White Noise Assumptions Revisited: Regression Models and Statistical Designs for Simulation Practice\" CentER Discussion Paper No. 2006--50.","DOI":"10.1109\/WSC.2006.323031"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","DOI":"10.1002\/0471725382","volume-title":"Robust Regression and Outlier Detection","author":"Rousseeuw P.J.","year":"1987","unstructured":"Rousseeuw , P.J. and Leroy , A.M . \" Robust Regression and Outlier Detection .\" New York : Wiley , 1987 . Rousseeuw, P.J. and Leroy, A.M. \"Robust Regression and Outlier Detection.\" New York: Wiley, 1987."},{"key":"e_1_3_2_1_11_1","first-page":"489","volume-title":"Learning Local Error Bars for Nonlinear Regression.\" In Advances in Neural Information Processing Systems 7 (NIPS*94)","author":"Nix D.A.","year":"1995","unstructured":"Nix , D.A. , and A.S. Weigend ( 1995 ). \" Learning Local Error Bars for Nonlinear Regression.\" In Advances in Neural Information Processing Systems 7 (NIPS*94) p. 489 -- 496 . Cambridge, MA : MIT Press . Nix, D.A., and A.S. Weigend (1995). \"Learning Local Error Bars for Nonlinear Regression.\" In Advances in Neural Information Processing Systems 7 (NIPS*94) p. 489--496. Cambridge, MA: MIT Press."},{"key":"e_1_3_2_1_12_1","volume-title":"October","author":"Vugrin K.W.","year":"2005","unstructured":"Vugrin , K.W. , Swiler , L.P. , Roberts , R.M. , Confidence Region Estimation Techniques for Nonlinear Regression : Three Case Studies.\" SAND Report , October 2005 . Vugrin, K.W., Swiler, L.P., Roberts, R.M., et al. \"Confidence Region Estimation Techniques for Nonlinear Regression: Three Case Studies.\" SAND Report, October 2005."},{"key":"e_1_3_2_1_13_1","first-page":"239","volume-title":"Heidelberg","author":"Arnold D.","year":"2001","unstructured":"Arnold D. , \" Evolution strategies in noisy environments - A survey of existing work,\" in Theoretical Aspects of Evolutionary Computing, L. Kallel , B. Naudts , and A. Rogers , Eds. , Heidelberg , Germany : Springer Verlag , 2001 , pp. 239 -- 224 . Arnold D., \"Evolution strategies in noisy environments - A survey of existing work,\" in Theoretical Aspects of Evolutionary Computing, L. Kallel, B. Naudts, and A. Rogers, Eds., Heidelberg, Germany: Springer Verlag, 2001, pp. 239--24."}],"event":{"name":"GECCO07: Genetic and Evolutionary Computation Conference","location":"London England","acronym":"GECCO07","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation","ACM Association for Computing Machinery"]},"container-title":["Proceedings of the 9th annual conference on Genetic and evolutionary computation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1276958.1277289","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1276958.1277289","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T15:13:57Z","timestamp":1750259637000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1276958.1277289"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,7,7]]},"references-count":12,"alternative-id":["10.1145\/1276958.1277289","10.1145\/1276958"],"URL":"https:\/\/doi.org\/10.1145\/1276958.1277289","relation":{},"subject":[],"published":{"date-parts":[[2007,7,7]]},"assertion":[{"value":"2007-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}