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GPTP 2015

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Rick L. Riolo, Bill Worzel, Mark E. Kotanchek, Arthur K. Kordon:
Genetic Programming Theory and Practice XIII [GPTP 2015]. Springer 2016, ISBN 978-3-319-34221-4
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  - conf/gptp/KommendaKAWB15
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Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu:
Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. 1-19
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  - conf/gptp/ElyasafVMSZ15
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Achiya Elyasaf, Pavel Vaks, Nimrod Milo, Moshe Sipper, Michal Ziv-Ukelson:
Learning Heuristics for Mining RNA Sequence-Structure Motifs. 21-38
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  - conf/gptp/MeloB15
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Vinícius Veloso de Melo, Wolfgang Banzhaf:
Kaizen Programming for Feature Construction for Classification. 39-57
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  - conf/gptp/Tozier15
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William A. Tozier:
GP As If You Meant It: An Exercise for Mindful Practice. 59-78
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  - conf/gptp/HodjatS15
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Babak Hodjat, Hormoz Shahrzad:
nPool: Massively Distributed Simultaneous Evolution and Cross-Validation in EC-Star. 79-90
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  - conf/gptp/Korns15
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Michael F. Korns:
Highly Accurate Symbolic Regression with Noisy Training Data. 91-115
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  - conf/gptp/GustafsonNPY15
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Steven Gustafson, Ram Narasimhan, Ravi Palla, Aisha Yousuf:
Using Genetic Programming for Data Science: Lessons Learned. 117-135
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  - conf/gptp/Worzel15
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William P. Worzel:
The Evolution of Everything (EvE) and Genetic Programming. 137-149
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  - conf/gptp/HelmuthMS15
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Thomas Helmuth, Nicholas Freitag McPhee, Lee Spector:
Lexicase Selection for Program Synthesis: A Diversity Analysis. 151-167
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  - conf/gptp/KrawiecSO15
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Krzysztof Krawiec, Jerry Swan, Una-May O'Reilly:
Behavioral Program Synthesis: Insights and Prospects. 169-183
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Nicholas Freitag McPhee, David Donatucci, Thomas Helmuth:
Using Graph Databases to Explore the Dynamics of Genetic Programming Runs. 185-201
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  - conf/gptp/TruscottK15
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Philip Truscott, Michael F. Korns:
Predicting Product Choice with Symbolic Regression and Classification. 203-217
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  - conf/gptp/SilvaMTICV15
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Sara Silva, Luis Muñoz, Leonardo Trujillo, Vijay Ingalalli, Mauro Castelli, Leonardo Vanneschi:
Multiclass Classification Through Multidimensional Clustering. 219-239
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Sean Stijven, Ekaterina Vladislavleva, Arthur K. Kordon, Lander Willem, Mark E. Kotanchek:
Prime-Time: Symbolic Regression Takes Its Place in the Real World. 241-260

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