Genetic Programming Bibliography entries for Manuela Veloso
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Created by W.Langdon from
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GP coauthors/coeditors:
Alexander Lavin,
Hector Zenil,
Brooks Paige,
David Krakauer,
Justin Gottschlich,
Tim Mattson,
Anima Anandkumar,
Sanjay Choudry,
Kamil Rocki,
Atilim G\"unes Baydin,
Carina Prunkl,
Olexandr Isayev,
Erik Peterson,
Peter L McMahon,
Jakob Macke,
Kyle S Cranmer,
Jiaxin Zhang,
Haruko M Wainwright,
Adi Hanuka,
Samuel Assefa,
Stephan Zheng,
Avi Pfeffer,
Astro Teller,
Genetic Programming Articles by Manuela Veloso
Genetic Programming conference papers by Manuela Veloso
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Astro Teller and Manuela Veloso.
Efficient Learning through Evolution: Neural Programming and Internal Reinforcement. In
Pat Langley editor,
Proceedings of the Seventeenth International Conference on Machine Learning, pages 959-966, Stanford University, Standord, CA, USA, 2000. Morgan Kaufmann Publishers Inc..
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Astro Teller and Manuela Veloso.
Neural Programming and an Internal Reinforcement Policy. In
International Conference Simulated Evolution and Learning, 1996. Springer-Verlag.
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Astro Teller and Manuela Veloso.
Neural Programming and an Internal Reinforcement Policy. In
John R. Koza editor,
Late Breaking Papers at the Genetic Programming 1996 Conference Stanford University July 28-31, 1996, pages 186-192, Stanford University, CA, USA, 1996. Stanford Bookstore.
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Astro Teller and Manuela Veloso.
Algorithm Evolution for Face Recognition: What Makes a Picture Difficult. In
International Conference on Evolutionary Computation, volume 2, pages 608-613, Perth, Australia, 1995. IEEE Press.
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Astro Teller and Manuela Veloso.
A Controlled Experiment: Evolution for Learning Difficult Image Classification. In
Seventh Portuguese Conference On Artificial Intelligence, volume 990, pages 165-176, Funchal, Madeira Island, Portugal, 1995. Springer-Verlag.
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Genetic Programming book chapters by Manuela Veloso
Genetic Programming technical reports by Manuela Veloso
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Astro Teller and Manuela Veloso.
PADO: Learning Tree Structured Algorithms for Orchestration into an Object Recognition System. Technical report,
CMU-CS-95-101,
Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA, 1995.
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Genetic Programming other entries for Manuela Veloso
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Alexander Lavin and Hector Zenil and Brooks Paige and David Krakauer and Justin Gottschlich and Tim Mattson and Anima Anandkumar and Sanjay Choudry and Kamil Rocki and Atilim G\"unes Baydin and Carina Prunkl and Olexandr Isayev and Erik Peterson and Peter L. McMahon and Jakob Macke and Kyle Cranmer and Jiaxin Zhang and Haruko M. Wainwright and Adi Hanuka and Manuela Veloso and Samuel Assefa and Stephan Zheng and Avi Pfeffer.
Simulation Intelligence: Towards a New Generation of Scientific Methods. 2021.
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