%0 Conference Paper %1 zhang:1995:bimdl %A Zhang, Byoung-Tak %A Mühlenbein, Heinz %B Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications %C Tahoe City, California, USA %D 1995 %E Rosca, Justinian P. %K algorithms, genetic programming %P 1--5 %T Bayesian Inference, Minimum Description Length Principle, and Learning by Genetic Programming %X adaptive search technique which dynamically balances the ratio of training accuracy to complexity of programs to achieve parsimonious solutions without loosing population diversity.

@inproceedings{zhang:1995:bimdl, abstract = {adaptive search technique which dynamically balances the ratio of training accuracy to complexity of programs to achieve parsimonious solutions without loosing population diversity.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Tahoe City, California, USA}, author = {Zhang, Byoung-Tak and M{\"u}hlenbein, Heinz}, biburl = {https://www.bibsonomy.org/bibtex/25b3b79b070dadcd57f296802fc641734/brazovayeye}, booktitle = {Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications}, editor = {Rosca, Justinian P.}, interhash = {ad6a61f63d7d8b1fd129b46808bb9afb}, intrahash = {5b3b79b070dadcd57f296802fc641734}, keywords = {algorithms, genetic programming}, month = {9 July}, notes = {part of \cite{rosca:1995:ml}}, pages = {1--5}, size = {5 pages}, timestamp = {2008-06-19T17:55:15.000+0200}, title = {Bayesian Inference, Minimum Description Length Principle, and Learning by Genetic Programming}, year = 1995 }