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Feature extraction using multi-objective genetic programming
Yang Zhang, and Peter I. Rockett Multi-Objective Machine Learning, volume 16 of Studies in Computational Intelligence, chapter 4, Springer, Invited chapter . (2006)
to Evolutionary Learning Machine Multi-objective Optimisation, algorithms, genetic programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Proceedings of the 2000 Congress on Evolutionary Computation CEC00
? La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (June 2000)
to agents, algorithms, and applications, biological breast cancer, classifiers, coevolution, constraint control control, controlling cultural design design, developement devices dynamic ec ec, ecological ecosystems, engineering evolutionary evolvable evolving fitness, fossil foundations, game games genetic handling, hardware, hybrid image image/ information intelligent learning like local markets, medical modeling modeling/ modelling modelling, multi-agent multi-objective network networks, neural new novel operations optimization, paradigms, parallel processing processing, programming, record, representations, research revisiting robotic scheduling, search search, series signal spaces, stroganoff, system systems systems, tasks, techniques, the themes, theory time by brazovayeye on Jun 19, 2008, 5:46 PM
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Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous Predators-prey Pursuit Problem
Ivan Tanev, and Katsunori Shimohara Proceedings of the 7th European Conference on Artificial Life ECAL 2003, (2003)
to algorithms, emergence, genetic learning multi-agent programming, systems, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Fingerprint classification based on learned features
Xuejun Tan, B. Bhanu, and Yingqiang Lin IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews 35(3):287--300 (Aug)
to (artificial Bayes Bayesian NIST-4 algorithm, algorithms, classification classification, classifier, composite database, databases discovery, extraction, feature feature-learning fingerprint genetic identification, image intelligence), learning method, methods, operations operator primitive processing programming, visual by brazovayeye on Jun 19, 2008, 5:46 PM
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Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
Matthew G. Smith, and Larry Bull Genetic Programming and Evolvable Machines 6(3):265--281 (September 2005)Published online: 17 August 2005 .
to algorithms, classification, construction, feature genetic learning machine programming, selection, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Regularization Approach to Inductive Genetic Programming
Nikolay Y. Nikolaev, and Hitoshi Iba IEEE Transactions on Evolutionary Computing 54(4):359--375 (August 2001)
to (artificial Kolmogorov-Gabor STROGANOFF,local algorithms, bias, data genetic inductive intelligence), learning mining, multivariate nodes, polynomials, prediction, programming, regularization, search searching, series statistical structures, time tree by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Neural network and genetic programming for modelling coastal algal blooms
Nitin Muttil, and Kwok-Wing Chau International Journal of Environment and Pollution 28(3/4):223--238 (June 2006)
to Hong Kong, algal algorithms, artificial biomass, blooms, environmental genetic harmful learning machine modelling, networks, neural pollution, programming, quality simulation techniques, water by brazovayeye on Jun 19, 2008, 5:46 PM
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Genetic programming for simultaneous feature selection and classifier design
Durga Prasad Muni, Nikhil R. Pal, and Jyotirmoy Das IEEE Transactions on Systems, Man and Cybernetics, Part B 36(1):106--117 (February 2006)
to (artificial Classification, algorithm, algorithms, c-class classification, classifier classifier, design evolutionary extraction, feature genetic intelligence), learning online pattern problem, programming, ranking scheme, selection by brazovayeye and 2 other users on Jun 19, 2008, 5:46 PM
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Learning to Control the Program Evolution Process with Cultural Algorithms
Elena Zannoni, and Robert G. Reynolds Evolutionary Computation 5(2):181--211 (summer 1997)
to algorithms, concept concepts, cultural design genetic learning machine methodologies, metrics, of programming, reuse software by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Discovering Knowledge from Noisy Databases using Genetic Programming
Man Leung Wong, K. S. Leung, and K. S. Cheng Journal of the American Society for Information Science (2000)
to Computation, Data Evolutionary Learning Rule algorithms, genetic mining, programming, by brazovayeye on Jun 19, 2008, 5:35 PM
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Discovering knowledge from medical databases using evolutionory algorithms
Man Leung Wong, Wai Lam, Kwong Sak Leung, Po Shun Ngan, and Jack C. Y. Cheng IEEE Engineering in Medicine and Biology Magazine 19(4):45--55 (July 2000)
to Bayesian advanced algorithms, causality child classification, clinical continuous database database, databases, discovery, errors evolutionary fracture fractures, genetic knowledge knowledge, learning management medical models, network networks, novel process, programming, relationship scoliosis systems, tasks, variables, by brazovayeye on Jun 19, 2008, 5:35 PM
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Evolving Readable Perl
Mark S. Withall, Chris J. Hinde, and Roger G. Stone GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page 894. New York, Morgan Kaufmann Publishers, (September 2002)
to Perl, algorithms, classifier genetic learning programming, readable, regression symbolic systems, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Crossover context in page-based linear genetic programming
Garnett Wilson, and Malcolm Heywood Canadian Journal of Electrical and Computer Engineering 27(3):113--116 (2002)
to algorithms, genetic learning programming, strategy by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Crossover Context in Page-based Linear Genetic Programming
G. C. Wilson, and M. I. Heywood IEEE CCECE 2002: IEEE Canadian Conference on Electrical and Computer Engineering, 2, page 809--814. IEEE Press, (December 2002)
to (artificial Learning, Mateo San Strategy algorithms, ants, artificial based change, code crossover effective fitness genetic instructions, intelligence), learning memories, operator, problems, programming, register search sequences, simple strategies, strategy trail, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Rule-based Genetic Programming
Thomas Weise, Michael Zapf, and Kurt Geihs Proceedings of BIONETICS 2007, 2nd International Conference on Bio-Inspired Models of Network, Information, and Computing Systems, Radisson SAS Beke Hotel, 43. Terez krt., Budapest H-1067, Hungary, Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering ICST, IEEE, ACM, (December 2007)
to Classifier Critical Distributed Epistasis, GP, Genetic Learning Neutrality, Programming, Rule-based Section, Systems Systems, algorithms, genetic programming, by brazovayeye and 3 other users on Jun 19, 2008, 5:35 PM
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Evolving Classifiers -- Evolutionary Algorithms in Data Mining
Thomas Weise, Stefan Achler, Martin Göb, Christian Voigtmann, and Michael Zapf Kasseler Informatikschriften KIS, volume 2007. University of Kassel, University of Kassel, (September 2007)
to 2007, Algorithm, Classifier Computation, DMC Data Data-Mining-Cup, Evolutionary Genetic Learning Mining, System System, by brazovayeye and 2 other users on Jun 19, 2008, 5:35 PM
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Training genetic programming on half a million patterns: an example from anomaly detection
Dong Song, Malcolm I. Heywood, and A. Nur Zincir-Heywood IEEE Transactions on Evolutionary Computation 9(3):225--239 (June 2005)
to (DSS), (artificial KDD-99 RSS-DSS algorithm, algorithms, anomaly cost data data, dataset detection detection, dynamical filtering, fitness function, functions, genetic hierarchical intelligence), intrusion large learning mining, of programming programming, real-world security selection set,Dynamic sets subset training, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Constructive Induction of Fuzzy Cartesian Granule Feature Models using Genetic Programming with Applications
James G. Shanahan, James F. Baldwin, and Trevor P. Martin Proceedings of the Congress on Evolutionary Computation, 1, page 218--226. Mayflower Hotel, Washington D.C., USA, IEEE Press, (June 1999)
to algorithms, genetic learning programming, by brazovayeye on Jun 19, 2008, 5:35 PM
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Constructive induction and genetic algorithms for learning concepts with complex interaction
Leila Shila Shafti, and Eduardo P\&\#233;rez P\&\#233;rez GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1811--1818. Washington DC, USA, ACM Press, (January 2007)
to Classifier Genetics-Based Learning Learning, Machine Systems, algorithms, attribute attributes construction, constructive design, experimentation, feature genetic induction, interaction, selection, shared by brazovayeye on Jun 19, 2008, 5:35 PM
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Comparing learning classifier systems and Genetic Programming: a case study
S. Sette, B. Wyns, and L. Boullart Engineering Applications of Artificial Intelligence 17(2):199--204 (2004)
to Learning Rule-based Textile algorithms, classifier genetic learning machine process, production programming, systems, by brazovayeye on Jun 19, 2008, 5:35 PM
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