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GPTP 2013: University of Michigan, Ann Arbor, MI, USA

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Rick L. Riolo, Jason H. Moore, Mark E. Kotanchek:
Genetic Programming Theory and Practice XI [GPTP 2013, University of Michigan, Ann Arbor, USA, May 9-11, 2013]. Springer 2014, ISBN 978-1-4939-0374-0
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Michael F. Korns:
Extreme Accuracy in Symbolic Regression. 1-30
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  - conf/gptp/MooreHSS13
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Jason H. Moore, Douglas P. Hill, Andrew J. Saykin, Li Shen:
Exploring Interestingness in a Computational Evolution System for the Genome-Wide Genetic Analysis of Alzheimer's Disease. 31-45
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  - conf/gptp/StijvenBVVBK13
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Sean Stijven, Ruben Van den Bossche, Ekaterina Vladislavleva, Kurt Vanmechelen, Jan Broeckhove, Mark E. Kotanchek:
Optimizing a Cloud Contract Portfolio Using Genetic Programming-Based Load Models. 47-63
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Babak Hodjat, Erik Hemberg, Hormoz Shahrzad, Una-May O'Reilly:
Maintenance of a Long Running Distributed Genetic Programming System for Solving Problems Requiring Big Data. 65-83
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  - conf/gptp/RyanSF13
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Conor Ryan, Joe Sullivan, Barry Fitzgerald:
Grounded Simulation: Using Simulated Evolution to Guide Embodied Evolution. 85-100
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Arthur K. Kordon:
Applying Genetic Programming in Business Forecasting. 101-117
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Philip Truscott, Michael F. Korns:
Explaining Unemployment Rates with Symbolic Regression. 119-135
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Lee Spector, Thomas Helmuth:
Uniform Linear Transformation with Repair and Alternation in Genetic Programming. 137-153
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  - conf/gptp/IckeADWGB13
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Ilknur Icke, Nicholas A. Allgaier, Christopher M. Danforth, Robert A. Whelan, Hugh P. Garavan, Joshua Clifford Bongard:
A Deterministic and Symbolic Regression Hybrid Applied to Resting-State fMRI Data. 155-173
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  - conf/gptp/AffenzellerWKKB013
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Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner:
Gaining Deeper Insights in Symbolic Regression. 175-190
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  - conf/gptp/VanneschiSCM13
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Leonardo Vanneschi, Sara Silva, Mauro Castelli, Luca Manzoni:
Geometric Semantic Genetic Programming for Real Life Applications. 191-209
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Ruowang Li, Emily Rose Holzinger, Scott M. Dudek, Marylyn D. Ritchie:
Evaluation of Parameter Contribution to Neural Network Size and Fitness in ATHENA for Genetic Analysis. 211-224

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