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Byoung-Tak Zhang and Peter Ohm and Heinz Mühlenbein Evolutionary Computation5(2):213--236(
1997)
to series higher-order principle, neural networks, algorithm prediction, time tree programming, program description genetic breeder Minimum length representation, algorithms, induction, by brazovayeye on Jun 19, 2008, 5:35 PMByoung-Tak Zhang and Heinz Mühlenbein Evolutionary Computation3(1):17--38(
1995)
to Bayesian networks. model Machine principle, neural learning, comparison, Evolving programming, Tree description genetic Minimum length algorithms, induction, by brazovayeye on Jun 19, 2008, 5:35 PMLeila Shila Shafti and Eduardo Pérez Pérez GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1811--1818. Washington DC, USA, ACM Press, 25-29 June2005. to shared Genetics-Based Learning, Systems, construction, Learning experimentation, Machine Classifier attribute interaction, design, genetic constructive selection, feature algorithms, attributes induction, by brazovayeye on Jun 19, 2008, 5:35 PMGisele L. Pappa and Alex A. Freitas ECML/PKDD 2004 Proceedings of the Workshop W8 on Advances in Inductive Learning, page93--108. Pisa, Italy, 20-24 September2004. to programming, genetic rule classification data mining, induction, by brazovayeye on Jun 19, 2008, 5:35 PMEdgar Noda and Alex A. Freitas and Heitor S. Lopes Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2000), page1080. Las Vegas, Nevada, USA, Morgan Kaufmann, 10-12 July2000. to modelling, genetic data mining, Poster dependence algorithms, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMPeter C. Matthews and David W. F. Standingford and Carren M. E. Holden and Ken M. Wallace Artificial Intelligence for Engineering Design, Analysis and Manufacturing(
2006)
to Model Elicitation, Induction, demes Knowledge Design Metamodels SVM, Data GP-HEM, Mining, programming, genetic algorithms, by brazovayeye on Jun 19, 2008, 5:35 PMW. B. Langdon Genetic Programming 1996: Proceedings of the First Annual Conference, page141--148. Stanford University, CA, USA, MIT Press, 28--31 July1996. to Evolution, brackets, CFG, matched (ADF), Stack, Pareto Push Structures, Data free programming, Defined algorithms, Object Learning, Programming, Machine Expressions, automatic Demes code Automatic grammar Functions Oriented genetic Artificial Polish Reverse fitness, context Automatically Dyck language down language, generation, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMW. B. Langdon Research Note, RN/96/1. UCL, Gower Street, London, WC1E 6BT, UK, January1996. to Evolution, (ADF), Stack, Pareto Push Structures, Data free programming, Defined algorithms, Object Learning, Programming, Machine Expressions, automatic Demes Automatic code Functions Oriented genetic Artificial Polish Reverse fitness, context Automatically language down generation, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMEmin Erkan Korkmaz and Gokturk Ucoluk 2001 Genetic and Evolutionary Computation Conference Late Breaking Papers, page245--251. San Francisco, California, USA, 9-11 July2001. to C4.5 free CFG, programming, genetic context NLP, algorithms, English induction, grammar by brazovayeye on Jun 19, 2008, 5:35 PMEmin Erkan Korkmaz and Gokturk Ucoluk Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page180. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001. to Poster, genetic Context-free programming: Induction, algorithms, Grammar by brazovayeye on Jun 19, 2008, 5:35 PMMaarten Keijzer and Martin Baptist and Vladan Babovic and Javier Rodriguez Uthurburu GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1999--2006. Washington DC, USA, ACM Press, 25-29 June2005. to Real hydraulics, programming, Applications, equation genetic algorithms, World units measurement induction, hydrology, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMYoon-Seok Timothy Hong and Paul A. White and David M. Scott Water Resources Research(
2005)
to model computational logic, moisture Estimation Canterbury 0555 balance Neural intelligence, 1805 programming, Hydrology: fuzzy Computational evolutionary algorithms, forecasting; learning; 1847 1829 Modelling Zealand, rainfall automatic New networks, machine and Plains, recharge Geophysics: genetic Groundwater 1816 model, soil induction, hydrology; by brazovayeye on Jun 19, 2008, 5:35 PMGianluigi Folino and Clara Pizzuti and Giandomenico Spezzano Proceedings of the 13th International Conference on Tools with Artificial Intelligence, page129--135. Dallas, TX USA, IEEE, 7-9 November2001. to parallel scalability function, fitness trees, data (artificial learning machine repository, decision sets, intelligence), tree programming, J-measure, genetic UCI grid algorithms, model, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMMatej Crepinsek and Marjan Mernik and Barrett R. Bryant and Faizan Javed and Alan Sprague Electronic Notes in Theoretical Computer Science141(4):99--11612 December2005. Proceedings of the Fifth Workshop on Language Descriptions, Tools, and Applications (LDTA 2005)
.
to Learning inference, from examples, Exhaustive and programming, search genetic algorithms, negative positive Grammar induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMArpit A. Almal and Anirban P. Mitra and Ram H. Datar and Peter F. Lenehan and David W. Fry and Richard J. Cote and William P. Worzel GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page239--246. Seattle, Washington, USA, ACM Press, 8-12 July2006. to synthesis, concept staging, learning, measures, programming, selection, feature algorithms, algorithms synthesis bladder analysis, rules, Nodal learning machine and Applications, pattern cancer, evaluation, genetic program classification Biological similarity classifier design induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM