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A New Program Structure in Genetic Programming for Object Classification
Yun Zhang, and Mengjie Zhang Proceeding of Image and Vision Computing NZ International Conference, page 459--465. Akaroa, New Zealand, Lincoln, Landcare Research, (November 2004)
to Modi algorithms, based class classification, genetic image modifying multiple object program programming, recognition, structure, by brazovayeye on Jun 19, 2008, 5:46 PM
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Improving Object Detection Performance with Genetic Programming
Mengjie Zhang International Journal on Artificial Intelligence Tools 16(5):849--873 (October 2007)
to algorithms, fitness function, genetic learning, networks neural object program programming, recognition, size, target two-phase by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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Pixel Statistics and Program Size in Genetic Programming for Object Detection
Mengjie Zhang, and Urvesh Bhowan CS-TR-04-3. Computer Science, Victoria University of Wellington, New Zealand, (2004)
to alarm algorithms, detection false genetic multiclass object pixel position, program programming, size, statistics, by brazovayeye on Jun 19, 2008, 5:46 PM
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Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problems
James Alfred Walker, and Julian Francis Miller GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 911--918. Seattle, Washington, USA, ACM Press, (August 2006)
to Cartesian acquisition, algorithms, automatically defined embedded evolution, functions, genetic hierarchical-if-and-only-if, lawnmower module problem, program programming, synthesis synthesis, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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A multi-chromosome approach to standard and embedded cartesian genetic programming
James Alfred Walker, Julian Francis Miller, and Rachel Cavill GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 903--910. Seattle, Washington, USA, ACM Press, (August 2006)
to Cartesian ES, acquisition, algorithms, automatically circuits, defined digital embedded evolution, evolutionary functions, genetic module multi-chromosome multi-chromosome, program programming, strategy, synthesis synthesis, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
URL | DOI | BibTeX (0)
Synthesis of interest point detectors through genetic programming
Leonardo Trujillo, and Gustavo Olague GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 887--894. Seattle, Washington, USA, ACM Press, (August 2006)
to algorithms, feature genetic invariants, program programming, representation, synthesis, theory by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
URL | DOI | BibTeX (0)
A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
Marco Tomassini, Leonardo Vanneschi, Philippe Collard, and Manuel Clergue Evolutionary Computation 13(2):213--239 (Summer 2005)
to algorithms, correlation difficulty, distance fitness genetic landscapes, problem program programming, by brazovayeye and 2 other users on Jun 19, 2008, 5:46 PM
URL | DOI | BibTeX (0)
Redundant genes and the evolution of robustness
Russell Thomason, and Terence Soule GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 959--960. Seattle, Washington, USA, ACM Press, (August 2006)
to Poster, algorithms, bloat, code genes, genetic program programming: redundant robustness, synthesis synthesis, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
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A performance comparison of tree-based genetic programming versus stack-based genetic programming using the Java virtual machine
Robert J. Steinhoff Graduate School of Computer and Information Sciences, Nova Southeastern University, Fort Lauderdale, Florida, USA, (2000)
to (Computer Java algorithms, genetic language) program programming, by brazovayeye on Jun 19, 2008, 5:46 PM
BibTeX (0)
Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space
R. P. Salustowicz, and J. Schmidhuber Machine Learning: ECML-97, volume 1224 of Lecture Notes in Artificial Intelligence, page 213--220. Springer-Verlag, (1997)
to Incremental Learning, Population-Based Program Search Stochastic algorithms, genetic programming, by brazovayeye and 3 other users on Jun 19, 2008, 5:46 PM
URL | BibTeX (0)
Learning Team Strategies: Soccer Case Studies
R. P. Sałustowicz, M. A. Wiering, and J. Schmidhuber Machine Learning 33(2-3):263--282 (December 1998)
to PIPE, TD-Q coevolution evaluation evolution, functions, incremental learning, multiagent probabilistic program reinforcement soccer, by brazovayeye and 3 other users on Jun 19, 2008, 5:46 PM
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Probabilistic Incremental Program Evolution
R. P. Salustowicz, and J. Schmidhuber Evolutionary Computation 5(2):123--141 (1997)
to Evolution, Incremental Learning, Population-Based Program algorithms, environments genetic languages, observable partially probabilistic program programming programming, search, stochastic by brazovayeye and 4 other users on Jun 19, 2008, 5:46 PM
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Hybridized Crossover-Based Search Techniques for Program Discovery
Una-May O'Reilly, and Franz Oppacher Proceedings of the 1995 World Conference on Evolutionary Computation, 2, page 573--578. Perth, Australia, IEEE Press, (May 1997)
to algorithms, annealing, candidate climbing; crossover crossover-based discovery, genetic hierarchical hill hybridized inter-generation interval iterated iterative methods, operator, probability, problems, program programming programming, search simulated single-point solutions, stochastic success techniques, theory, by brazovayeye and 1 other user on Jun 19, 2008, 5:46 PM
URL | BibTeX (0)
Self Improving Genetic Programming
Roland Olsson Advances in Intelligent Systems, Fuzzy Systems, evolutionary Computation, page 262--266. Interlaken, Switzerland, WSEAS Press, (November 2002)
to ADATE, Automatic Neutral Program Self-adaption, algorithms, genetic programming, synthesis, walks by brazovayeye on Jun 19, 2008, 5:46 PM
BibTeX (0)
Genetic Programming, Proceedings of EuroGP'2001
Julian Miller, Marco Tomassini, Pier Luca Lanzi, Conor Ryan, Andrea G. B. Tettamanzi, and William B. Langdon (Eds.). volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, (June 2002)
to Active Animat, Arm, Artificial BDD, Bloat, Block-oriented Boolean CAD, Causality, Cellular Character Complexity, Computational Contour Controller Crossover DNA, Developmental Discovery, Dynamic Evolution Evolution, Evolvability, Evolvable Extraction, Feature Fitness, Fixed Function Generator, Genetic Genotype-Phenotype Grammatical Hardware, Image Intrinsic Inverse Iterated Kinematics, Knowledge Layered Learning, Length Linear MAX Machine Mapping, Multi-expression Multipopulation Neutral One-then-zeros Parallel Pattern Polymorphism, Problem Problem, Process Program Reasoning, Recognition, Regression, Retina, Robotic STGP, Series Symbolic Systems, Time Trees, Turing VHDL, VLSI algorithms, bias, control, design, detection, distributed distributions, function genetic individuals, landscape, machines, model, modelling, modular mutation, of points, prediction, problem, processing, programming, representation, representations, robot, robust, size, structures, by brazovayeye on Jun 19, 2008, 5:46 PM
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Program search with simulated annealing
Mitsunori Miki, Masafumi Hashimoto, and Yoshihisa Fujita GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page 1754--1754. London, ACM Press, (July 2007)
to Poster, algorithms, annealing, bloat, fixed genetic introns program programming: search, simulated syntactic temperatures, by brazovayeye on Jun 19, 2008, 5:46 PM
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Evolutionary Induction of Sparse Neural Trees
Byoung-Tak Zhang, Peter Ohm, and Heinz Mühlenbein Evolutionary Computation 5(2):213--236 (1997)
to Minimum algorithm algorithms, breeder description genetic higher-order induction, length networks, neural prediction, principle, program programming, representation, series time tree by brazovayeye on Jun 19, 2008, 5:35 PM
URL | DOI | BibTeX (0)
Probabilistic distribution models for EDA-based GP
Kohsuke Yanai, and Hitoshi Iba GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page 1775--1776. Washington DC, USA, ACM Press, (January 2007)
to PIPE, Poster, XEDP algorithm, algorithms, building building, computing, distribution estimation evolution, evolutionary genetic model of probabilistic program programming, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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Algebraic simplification of GP programs during evolution
Phillip Wong, and Mengjie Zhang GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 927--934. Seattle, Washington, USA, ACM Press, (August 2006)
to algebraic algorithms, bloating, code genetic online program programming, simplification simplification, by brazovayeye and 1 other user on Jun 19, 2008, 5:35 PM
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