Abstract is missing.
- Application of Machine-Learning Methods to Understand Gene Expression RegulationChao Cheng, William P. Worzel. 1-15 [doi]
- Identification of Novel Genetic Models of Glaucoma Using the "EMERGENT" Genetic Programming-Based Artificial Intelligence SystemJason H. Moore, Casey S. Greene, Douglas P. Hill. 17-35 [doi]
- Inheritable Epigenetics in Genetic ProgrammingWilliam La Cava, Lee Spector. 37-51 [doi]
- SKGP: The Way of the CombinatorWilliam P. Worzel, Duncan MacLean. 53-71 [doi]
- Sequential Symbolic Regression with Genetic ProgrammingLuiz Otávio Vilas Boas Oliveira, Fernando E. B. Otero, Gisele L. Pappa, Julio Albinati. 73-90 [doi]
- Sliding Window Symbolic Regression for Detecting Changes of System DynamicsStephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner 0002. 91-107 [doi]
- Extremely Accurate Symbolic Regression for Large Feature ProblemsMichael F. Korns. 109-131 [doi]
- How to Exploit Alignment in the Error Space: Two Different GP ModelsMauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto. 133-148 [doi]
- Analyzing a Decade of Human-Competitive ("HUMIE") Winners: What Can We Learn?Karthik Kannappan, Lee Spector, Moshe Sipper, Thomas Helmuth, William La Cava, Jake Wisdom, Omri Bernstein. 149-166 [doi]
- Tackling the Boolean Multiplexer Function Using a Highly Distributed Genetic Programming SystemHormoz Shahrzad, Babak Hodjat. 167-179 [doi]