Genetic Programming Bibliography entries for Michael D Schmidt
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Genetic Programming Articles by Michael D Schmidt
Genetic Programming PhD doctoral thesis Michael D Schmidt
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Michael Douglas Schmidt.
Machine Science: Automated Modeling Of Deterministic And Stochastic Dynamical Systems. PhD thesis,
Cornell University, USA, 2011.
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Genetic Programming conference papers by Michael D Schmidt
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Dylan Sherry and Michael Schmidt.
Performance Testing of Automated Modeling for Industrial Applications. In
Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 1605-1612, Berlin, Germany, 2017. ACM.
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Michael D. Schmidt and Hod Lipson.
Predicting solution rank to improve performance. In
Juergen Branke and Martin Pelikan and Enrique Alba and Dirk V. Arnold and Josh Bongard and Anthony Brabazon and Juergen Branke and Martin V. Butz and Jeff Clune and Myra Cohen and Kalyanmoy Deb and Andries P Engelbrecht and Natalio Krasnogor and Julian F. Miller and Michael O'Neill and Kumara Sastry and Dirk Thierens and Jano van Hemert and Leonardo Vanneschi and Carsten Witt editors,
GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation, pages 949-956, Portland, Oregon, USA, 2010. ACM.
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Michael D. Schmidt and Hod Lipson.
Solving iterated functions using genetic programming. In
Anna I. Esparcia and Ying-ping Chen and Gabriela Ochoa and Ender Ozcan and Marc Schoenauer and Anne Auger and Hans-Georg Beyer and Nikolaus Hansen and Steffen Finck and Raymond Ros and Darrell Whitley and Garnett Wilson and Simon Harding and W. B. Langdon and Man Leung Wong and Laurence D. Merkle and Frank W. Moore and Sevan G. Ficici and William Rand and Rick Riolo and Nawwaf Kharma and William R. Buckley and Julian Miller and Kenneth Stanley and Jaume Bacardit and Will Browne and Jan Drugowitsch and Nicola Beume and Mike Preuss and Stephen L. Smith and Stefano Cagnoni and Jim DeLeo and Alexandru Floares and Aaron Baughman and Steven Gustafson and Maarten Keijzer and Arthur Kordon and Clare Bates Congdon and Laurence D. Merkle and Frank W. Moore editors,
GECCO-2009 Late-Breaking Papers, pages 2149-2154, Montreal, 2009. ACM.
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Michael D. Schmidt and Hod Lipson.
Incorporating expert knowledge in evolutionary search: a study of seeding methods. In
Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1091-1098, Montreal, 2009. ACM.
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Michael D. Schmidt and Hod Lipson.
Discovering a domain alphabet. In
Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano van Hemert and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano Di Penta and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba editors,
GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation, pages 1083-1090, Montreal, 2009. ACM.
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Michael D. Schmidt and Hod Lipson.
Data-Mining Dynamical Systems: Automated Symbolic System Identification for Exploratory Analysis. In
9th Biennial Conference on Engineering Systems Design and Analysis (ESDA2008), volume 2, pages 643-649, Haifa, Israel, 2008. ASME.
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Michael D. Schmidt and Hod Lipson.
Learning noise. In
Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors,
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1680-1685, London, 2007. ACM Press.
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Michael Schmidt and Hod Lipson.
Comparison of tree and graph encodings as function of problem complexity. In
Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors,
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1674-1679, London, 2007. ACM Press.
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Genetic Programming book chapters by Michael D Schmidt
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Michael Schmidt and Hod Lipson.
Age-Fitness Pareto Optimization. In
Rick Riolo and Trent McConaghy and Ekaterina Vladislavleva editors,
Genetic Programming Theory and Practice VIII, volume 8 of Genetic and Evolutionary Computation, chapter 8, pages 129-146. Springer, Ann Arbor, USA, 2010.
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Michael Schmidt and Hod Lipson.
Symbolic Regression of Implicit Equations. In
Rick L. Riolo and Una-May O'Reilly and Trent McConaghy editors,
Genetic Programming Theory and Practice VII, chapter 5, pages 73-85. Springer, Ann Arbor, 2009.
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Michael D. Schmidt and Hod Lipson.
Co-evolving Fitness Predictors for Accelerating and Reducing Evaluations. In
Rick L. Riolo and Terence Soule and Bill Worzel editors,
Genetic Programming Theory and Practice IV, volume 5 of Genetic and Evolutionary Computation, pages 113-130. Springer, Ann Arbor, 2006.
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Genetic Programming other entries for Michael D Schmidt