Genetic Programming Bibliography entries for Alexandrina Rogozan
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Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
GP coauthors/coeditors:
Laura Diosan,
Mihai Oltean,
Jean Pierre Pecuchet,
Genetic Programming Articles by Alexandrina Rogozan
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Laura Diosan and Alexandrina Rogozan and Jean Pierre Pecuchet.
Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming.
International Journal on Artificial Intelligence Tools, 19(5):647-677, 2010.
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Genetic Programming conference papers by Alexandrina Rogozan
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Laura Diosan and Alexandrina Rogozan and Jean-Pierre Pecuchet.
Optimising Multiple Kernels for SVM by Genetic Programming. In
Jano I. van Hemert and Carlos Cotta editors,
Proceedings of the 8th European Conference, Evolutionary Computation in Combinatorial Optimization, EvoCOP, volume 4972, pages 230-241, Naples, Italy, 2008. Springer.
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Laura Diosan and Alexandrina Rogozan and Jean-Pierre Pecuchet.
Evolving kernel functions for SVMs by genetic programming. In
Sixth International Conference on Machine Learning and Applications, ICMLA 2007, pages 19-24, Cincinnati, Ohio, USA, 2007. IEEE.
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Laura Diosan and Mihai Oltean and Alexandrina Rogozan and Jean Pierre Pecuchet.
Genetically designed multiple-kernels for improving the SVM performance. In
Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors,
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1873-1873, London, 2007. ACM Press.
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