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publications

(93)   

• Feature extraction using multi-objective genetic programming
  Yang Zhang and Peter I. Rockett Multi-Objective Machine Learning, volume16ofStudies in Computational Intelligence, chapter 4, Springer, Invited chapter . (2006)
  to Learning Evolutionary programming, Machine Multi-objective genetic algorithms, Optimisation, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming
  Mengjie Zhang and Victor B. Ciesielski and Peter Andreae EURASIP Journal on Applied Signal Processing2003(8):841--859July2003. Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis .
  to computer vision neural object machine networks, learning, programming, genetic detection, target algorithms, recognition, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic Programming for Multiple Class Object Detection
  Mengjie Zhang and Victor Ciesielski 12th Australian Joint Conference on Artificial Intelligence, volume1747ofLNAI, page180--192. Sydney, Australia, Springer-Verlag, 6-10 December1999.
  to Neural programming, Machine Vision genetic algorithms, networks, learning, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Modelling rainfall-runoff using genetic programming
  P. A. Whigham and P. F. Crapper Mathematical and Computer Modelling33(6-7):707--721(2001)
  to series modelling, Time programming, Machine genetic Chlorophyll-a modelling algorithms, learning, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Induction of a marsupial density model using genetic programming and spatial relationships
  P. A. Whigham Ecological Modelling131(2-3):299--317(2000)
  to programming, Machine genetic Spatial prediction algorithms, Habitat patterns, learning, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Evolving rule-based systems in two medical domains using genetic programming
  Athanasios Tsakonas and Georgios Dounias and Jan Jantzen and Hubertus Axer and Beth Bjerregaard and Diedrich Graf von Keyserlingk Artificial Intelligence in Medicine32(3):195--216November2004.
  to Genetic-fuzzy Aphasia, test machine Hybrid decision learning, intelligence, programming, driven genetic Inductive Medical making, Pap-smear algorithms, systems, GP, Grammar by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PM
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• GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation
  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 (eds.). London, UK, ACM Press, 7-11 July2007.
  to Systems, Software Genetics-Based Evolutionary Ant Estimation Search-Based Algorithms, Evolvable of Engineering programming, Behaviour, Intelligence, Distribution algorithms, Formal Real-World Strategies, Coevolution, Learning, Programming, Swarm Machine Robotics, Colony Immune Adaptive and Generative Developmental Life, Applications, Multiobjective genetic Biological Artificial Theory, Optimisation, Evolution Hardware, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Internal reinforcement in a connectionist genetic programming approach
  Astro Teller and Manuela Veloso Artificial Intelligence120(2):165--198July2000.
  to Evolutionary Machine Signal Bucket reinforcement, learning, understanding, Neural programming, genetic Internal algorithms, brigade computation, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• An Approach to Biological Computation: Unicellular Core-Memory Creatures Evolved Using Genetic Algorithms
  Hikeaki Suzuki Artificial Life5(4):367--386Fall1999.
  to creature, memory, algorithmic machine biological programming programming, genetic complexity, core algorithms, language unicellular computation, membrane, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Automated Discovery of Numerical Approximation Formulae Via Genetic Programming
  Matthew J. Streeter May2001.
  to programming, genetic approximations, algorithms, machine artificial learning, intelligence 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 Machines6(3):265--281September2005. Published online: 17 August 2005 .
  to construction, programming, genetic selection, feature learning algorithms, machine classification, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• QSAR Model for Prediction Capacity Factor of Molecular Imprinting Polymer Based on Gene Expression Programming
  H. Z. Si and K. J. Zhang and Z. D. Hu and B. T. Fan QSAR \& Combinatorial Science26(1):41--50January2007.
  to Programming, Gene programming, Support vector genetic Expression algorithms, machine by brazovayeye on Jun 19, 2008, 5:46 PM
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• Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach
  Philip G. K. Reiser and Patricia J. Riddle Applied Intelligence15(3):181--197November-December2001. Special Issue: Simulated Evolution and Learning .
  to inductive sampling, ILP programming, genetic evolutionary algorithms, machine logic learning, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization
  Sudip Regmi and Larry M. Deschaine and Sharad R. Regmi 2004 Business and Industry Symposium, Washington, DC, USA, April2004.
  to Learning, programming, Machine genetic algorithms, Simulation, Optimisation by brazovayeye on Jun 19, 2008, 5:46 PM
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• A field guide to genetic programming
  Riccardo Poli and William B. Langdon and Nicholas Freitag McPhee Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk, (2008) (With contributions by J. R. Koza) .
  to intelligence, programming, genetic evolutionary automatic computation algorithms, machine artificial learning, by brazovayeye 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 Pollution28(3/4):223--2386 November2006.
  to water harmful Hong modelling, biomass, neural algal learning networks, machine simulation pollution, environmental blooms, programming, genetic techniques, quality Kong, algorithms, artificial by brazovayeye on Jun 19, 2008, 5:46 PM
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• Genetic Programming, Proceedings of EuroGP'2001
  Julian Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon (eds.). volume2038ofLNCS, Lake Como, Italy, Springer-Verlag, 18-20 April2001.
  to Linear control, Evolvable Feature of robust, Computational Block-oriented modelling, Grammatical Neutral Inverse machines, Kinematics, Multi-expression Contour Trees, Active Cellular Controller Series Recognition, Evolution, Arm, Fitness, robot, Time programming, size, BDD, Image Reasoning, CAD, Polymorphism, Learning, Discovery, One-then-zeros Intrinsic Function Character STGP, Crossover Length modular representation, model, DNA, Systems, Causality, Robotic distributed design, function MAX Extraction, Layered Regression, Process Program Genotype-Phenotype individuals, Retina, Complexity, Turing VLSI bias, landscape, Parallel Knowledge Developmental prediction, Problem structures, Iterated Dynamic points, Pattern Evolvability, VHDL, Fixed processing, mutation, Mapping, Generator, Problem, Multipopulation algorithms, Machine Boolean Bloat, Animat, Genetic Symbolic genetic problem, Artificial representations, detection, distributions, Hardware, Evolution by brazovayeye on Jun 19, 2008, 5:46 PM
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• Balancing Accuracy and Parsimony in Genetic Programming
  Byoung-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 PM
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• Learning to Control the Program Evolution Process with Cultural Algorithms
  Elena Zannoni and Robert G. Reynolds Evolutionary Computation5(2):181--211summer1997.
  to concept reuse cultural metrics, concepts, learning machine of software programming, genetic methodologies, algorithms, design by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Evolutionary Program Induction Directed by Logic Grammars
  Man Leung Wong and Kwong Sak Leung Evolutionary Computation5(2):143--180summer1997.
  to programming, Machine genetic algorithms, logic learning, grammars by brazovayeye and 2 other people on Jun 19, 2008, 5:35 PM
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