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GPTP 2017: University of Michigan, Ann Arbor, MI, USA

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Wolfgang Banzhaf, Randal S. Olson, William A. Tozier, Rick L. Riolo:
Genetic Programming Theory and Practice XV, [GPTP 2017, University of Michigan, Ann Arbor, USA, May 18-20, 2017]. Genetic and Evolutionary Computation, Springer 2018, ISBN 978-3-319-90511-2
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Steven B. Fine, Erik Hemberg, Krzysztof Krawiec, Una-May O'Reilly:
Exploiting Subprograms in Genetic Programming. 1-16
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  - conf/gptp/BurlacuAKKW17
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Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Schema Analysis in Tree-Based Genetic Programming. 17-37
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Michael F. Korns:
Genetic Programming Symbolic Classification: A Study. 39-54
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  - conf/gptp/UrbanowiczYM17
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Ryan J. Urbanowicz, Ben Yang, Jason H. Moore:
Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System. 55-71
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  - conf/gptp/DolsonBO17
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Emily L. Dolson, Wolfgang Banzhaf, Charles Ofria:
Applying Ecological Principles to Genetic Programming. 73-88
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Sarah Anne Troise, Thomas Helmuth:
Lexicase Selection with Weighted Shuffle. 89-104
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Lee Spector, William G. La Cava, Saul Shanabrook, Thomas Helmuth, Edward R. Pantridge:
Relaxations of Lexicase Parent Selection. 105-120
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  - conf/gptp/OlsonSCTVFOUHM17
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Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J. Urbanowicz, John H. Holmes, Jason H. Moore:
A System for Accessible Artificial Intelligence. 121-134
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  - conf/gptp/TahmassebiG17
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Amirhessam Tahmassebi, Amir H. Gandomi:
Genetic Programming Based on Error Decomposition: A Big Data Approach. 135-147
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Stjepan Picek, Erik Hemberg, Domagoj Jakobovic, Una-May O'Reilly:
One-Class Classification of Low Volume DoS Attacks with Genetic Programming. 149-168
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Zhiruo Zhao, Stuart W. Card, Kishan G. Mehrotra, Chilukuri K. Mohan:
Evolution of Space-Partitioning Forest for Anomaly Detection. 169-184

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