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Publication search results
found 12 matches
- 2019
- Wolfgang Banzhaf, Lee Spector, Leigh Sheneman:
Genetic Programming Theory and Practice XVI, [GPTP 2018, University of Michigan, Ann Arbor, USA, May 17-20, 2018]. Genetic and Evolutionary Computation, Springer 2019, ISBN 978-3-030-04734-4 [contents] - 2018
- Michael O'Neill, David Fagan:
The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming. GPTP 2018: 179-192 - Emily L. Dolson, Alexander Lalejini, Charles Ofria:
Exploring Genetic Programming Systems with MAP-Elites. GPTP 2018: 1-16 - Arend Hintze, Jory Schossau, Clifford Bohm:
The Evolutionary Buffet Method. GPTP 2018: 17-36 - Stephen Kelly, Robert J. Smith, Malcolm I. Heywood:
Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial. GPTP 2018: 37-57 - Michael F. Korns, Tim May:
Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification. GPTP 2018: 59-84 - Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. GPTP 2018: 85-102 - Alexander Lalejini, Charles Ofria:
What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP. GPTP 2018: 103-121 - Blossom Metevier, Anil Kumar Saini, Lee Spector:
Lexicase Selection Beyond Genetic Programming. GPTP 2018: 123-136 - Julian F. Miller, Dennis G. Wilson, Sylvain Cussat-Blanc:
Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems. GPTP 2018: 137-178 - Leonardo Trujillo, Luis Muñoz, Uriel López, Daniel E. Hernández:
Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal. GPTP 2018: 193-207 - Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu:
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. GPTP 2018: 209-231
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