Genetic Programming Bibliography entries for Justinian Rosca
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Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
GP coauthors/coeditors:
Thomas D Haynes,
William B Langdon,
Una-May O'Reilly,
Riccardo Poli,
Dana H Ballard,
Michael Patrick Johnson,
Pattie Maes,
Genetic Programming Articles by Justinian Rosca
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Justinian Rosca.
Remembering GECCO-99 -- A Short Summary.
Genetic Programming and Evolvable Machines, 1(3):297-300, 2000.
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Genetic Programming PhD doctoral thesis Justinian Rosca
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Justinian P. Rosca.
Hierarchical Learning with Procedural Abstraction Mechanisms. PhD thesis,
Department of Computer Science, The College of Arts and Sciences, University of Rochester, Rochester, NY 14627, USA, 1997.
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Genetic Programming Conference proceedings edited by Justinian Rosca
Genetic Programming conference papers by Justinian Rosca
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Justinian Rosca.
Genetic Programming Acquires Solutions by Combining Top-Down and Bottom-Up Refinement. In
Thomas Haynes and William B. Langdon and Una-May O'Reilly and Riccardo Poli and Justinian Rosca editors,
Foundations of Genetic Programming, pages 64-65, Orlando, Florida, USA, 1999.
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Justinian P. Rosca.
Analysis of Complexity Drift in Genetic Programming. In
John R. Koza and Kalyanmoy Deb and Marco Dorigo and David B. Fogel and Max Garzon and Hitoshi Iba and Rick L. Riolo editors,
Genetic Programming 1997: Proceedings of the Second Annual Conference, pages 286-294, Stanford University, CA, USA, 1997. Morgan Kaufmann.
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Justinian Rosca.
Generality Versus Size in Genetic Programming. In
John R. Koza and David E. Goldberg and David B. Fogel and Rick L. Riolo editors,
Genetic Programming 1996: Proceedings of the First Annual Conference, pages 381-387, Stanford University, CA, USA, 1996. MIT Press.
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J. Rosca and D. H. Ballard.
Evolution-based discovery of hierarchical behaviors. In
Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), 1996. AAAI / The MIT Press.
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Justinian Rosca.
Towards Automatic Discovery of Building Blocks in Genetic Programming. In
E. V. Siegel and J. R. Koza editors,
Working Notes for the AAAI Symposium on Genetic Programming, pages 78-85, MIT, Cambridge, MA, USA, 1995. AAAI.
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Justinian P. Rosca.
Entropy-Driven Adaptive Representation. In
Justinian P. Rosca editor,
Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 23-32, Tahoe City, California, USA, 1995.
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Justinian Rosca and Dana H. Ballard.
Causality in Genetic Programming. In
Larry J. Eshelman editor,
Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), pages 256-263, Pittsburgh, PA, USA, 1995. Morgan Kaufmann.
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Justinian P. Rosca.
Genetic Programming Exploratory Power and the Discovery of Functions. In
John Robert McDonnell and Robert G. Reynolds and David B. Fogel editors,
Evolutionary Programming IV Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 719-736, San Diego, CA, USA, 1995. MIT Press.
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Justinian P. Rosca.
Towards a New Generation of Program Synthesis Approaches. In
Proceedings of the 7th International Conference on Software Engineering and Knowledge Engineering, Skokie, IL 60076, USA, 1995. Knowledge Systems Institute.
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J. P. Rosca and D. H. Ballard.
Learning by adapting representations in genetic programming. In
Proceedings of the 1994 IEEE World Congress on Computational Intelligence, volume 1, pages 407-412, Orlando, Florida, USA, 1994. IEEE Press.
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Justinian P. Rosca and Dana H. Ballard.
Hierarchical Self-Organization in Genetic Programming. In
Proceedings of the Eleventh International Conference on Machine Learning, pages 251-258, New Brunswick, NJ, USA, 1994. Morgan Kaufmann.
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Genetic Programming book chapters by Justinian Rosca
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Justinian Rosca.
A Probabilistic Model of Size Drift. In
Rick L. Riolo and Bill Worzel editors,
Genetic Programming Theory and Practice, chapter 8, pages 119-135. Kluwer, 2003.
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Justinian P. Rosca and Dana H. Ballard.
Rooted-Tree Schemata in Genetic Programming. In
Lee Spector and William B. Langdon and Una-May O'Reilly and Peter J. Angeline editors,
Advances in Genetic Programming 3, chapter 11, pages 243-271. MIT Press, Cambridge, MA, USA, 1999.
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Justinian P. Rosca and Dana H. Ballard.
Discovery of Subroutines in Genetic Programming. In
Peter J. Angeline and K. E. Kinnear, Jr. editors,
Advances in Genetic Programming 2, chapter 9, pages 177-201. MIT Press, Cambridge, MA, USA, 1996.
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Genetic Programming technical reports by Justinian Rosca
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Justinian P. Rosca and Dana H. Ballard.
Complexity Drift in Evolutionary Computation with Tree Representations. Technical Report ,
NRL5,
University of Rochester, Computer Science Department, Rochester, NY, USA, 1996.
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Justinian P. Rosca.
Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications. Technical Report ,
95.2,
University of Rochester, National Resource Laboratory for the Study of Brain and Behavior, Rochester, New York, USA, 1995.
Held in conjunction with the twelfth International Conference on Machine Learning, Tahoe City, California, USA.
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Justinian P. Rosca.
An Analysis of Hierarchical Genetic Programming. Technical Report ,
566,
University of Rochester, Rochester, NY, USA, 1995.
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Justinian P. Rosca and Dana H. Ballard.
Genetic Programming with Adaptive Representations. Technical report,
TR 489,
University of Rochester, Computer Science Department, Rochester, NY, USA, 1994.
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Genetic Programming other entries for Justinian Rosca
Genetic Programming etc Justinian Rosca
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Justinian P. Rosca.
Fitness-Size Interplay in Genetic Search.
Position paper at the Workshop on Evolutionary Computation with Variable Size Representation at ICGA-97. 1997.
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Justinian Rosca and Michael Patrick Johnson and Pattie Maes.
Evolutionary Speciation for Problem Decomposition. 1996.
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