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(26)   

• Detecting the epistatic structure of generalized embedded landscape
  Shude Zhou and Robert B. Heckendorn and Zengqi Sun Genetic Programming and Evolvable Machines9(2):125--155June2008. Special Issue on Theoretical foundations of evolutionary computation .
  to structure Problem transform, genetic detection, Generalised landscape, Linkage algorithms, embedded Fourier Epistasis, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data
  Mengjie Zhang and Malcolm Lett The IEEE Intelligent Informatics Bulletin7(1):12--21December2006.
  to computing, function, fitness data object classification, training localisation, programming, genetic evolutionary detection, algorithms, recognition, by brazovayeye on Jun 19, 2008, 5:46 PM
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• Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
  Mengjie Zhang and Will Smart Pattern Recognition Letters27(11):1266--1274August2006. Evolutionary Computer Vision and Image Understanding .
  to Fitness Probability function, programming, Multiclass genetic classification detection, algorithms, recognition, based Object by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM
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• Improving Fitness Function and Optimising Training Data in GP for Object Detection
  Mengjie Zhang and Malcolm Lett CS-TR-06-8. Computer Science, Victoria University of Wellington, New Zealand, (2006)
  to training Fitness function, programming, genetic detection, object algorithms, recognition, examples, classification, localisation by brazovayeye 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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• Fault detection using genetic programming
  Liang Zhang and Lindsay B. Jack and Asoke K. Nandi Mechanical Systems and Signal Processing19(2):271--289March2005.
  to monitoring, Condition programming, genetic detection, bearing selection, Roller algorithms, Feature Fault by brazovayeye on Jun 19, 2008, 5:46 PM
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• 252Cf source-correlated transmission measurements and genetic programming for nuclear safeguards
  Sara A. Pozzi and J. Segovia Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment491(1-2):326--341(2002)
  to Neutron Nuclear programming, safeguards genetic measurements, detection, Sample identification, algorithms, Correlation by brazovayeye on Jun 19, 2008, 5:46 PM
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• Onboard Evolutionary Risk Recognition System for Automobiles Toward the Risk Map System
  Genya Ogawa and Katsuyuki Kise and Tsuyoshi Torii and Tomoharu Nagao IEEE Transactions on Industrial Electronics54(2):878--886April2007.
  to recognition vehicle processing, camera driving system, image automobiles, analysis board human risk programming, pedestrian genetic detection, map on algorithms, recognition, 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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• Genetic Programming for Automatic Stress Detection in Spoken English
  Huayang Xie and Mengjie Zhang and Peter Andreae CS-TR-06-4. Computer Science, Victoria University of Wellington, New Zealand, (2006)
  to support programming, vector genetic trees, stress detection, algorithms, recognition, decision Speech machines by brazovayeye and 2 other people 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 and Malcolm I. Heywood and A. Nur Zincir-Heywood IEEE Transactions on Evolutionary Computation9(3):225--239June2005.
  to KDD-99 fitness data filtering, mining, security RSS-DSS subset hierarchical of programming programming, sets algorithms, data, function, algorithm, dynamical set,Dynamic functions, (artificial learning training, cost selection anomaly intelligence), detection dataset genetic real-world detection, (DSS), large intrusion by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Fault Detection Based on Genetic Programming and Support Vector Machines
  Liangmin Li and Liangsheng Qu Journal of Xi'an Jiaotong UniversityMarch2004.
  to support rolling programming, vector genetic detection, bearing machines, algorithms, fault SVM, by brazovayeye on Jun 19, 2008, 5:35 PM
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• New Fitness Functions in Genetic Programming for Object Detection
  Malcolm Lett and Mengjie Zhang Proceeding of Image and Vision Computing International Conference, page441--446. Akaroa, New Zealand, Lincoln, Landcare Research, November2004.
  to programming, localisation, fitness genetic detection, object algorithms, function by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Texture Detection by Genetic Programming
  Mario Koeppen and Xiufen Liu Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page867--872. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, 27-30 May2001.
  to analysis, programming, texture genetic evolutionary detection, algorithms, 2D-Lookup by brazovayeye on Jun 19, 2008, 5:35 PM
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• Pragmatic Genetic Programming strategy for the problem of vehicle detection in airborne reconnaissance
  Daniel Howard and Simon C. Roberts and Conor Ryan Pattern Recognition Letters27(11):1275--1288August2006. Evolutionary Computer Vision and Image Understanding .
  to transform, Machine vision Method Fourier of Discrete programming, genetic stages, detection, algorithms, Object Reconnaissance, Vehicle by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Application Of Genetic Programming To Motorway Traffic Modelling
  Daniel Howard and Simon C. Roberts GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, page1097--1104. New York, Morgan Kaufmann Publishers, 9-13 July2002.
  to series modelling, motorway prediction forecasting, real time traffic programming, genetic detection, algorithms, world applications, incident by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection
  James V. Hansen and Paul Benjamin Lowry and Rayman D. Meservy and Daniel M. McDonald Decision Support Systems43(4):1362--1374August2007. Special Issue Clusters .
  to Information programming, genetic crossover, detection, Pattern Cyberterrorism, security algorithms, Homologous recognition, Intrusion by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
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• Anomaly Detection Using Real-Valued Negative Selection
  Fabio A. Gonzalez and Dipankar Dasgupta Genetic Programming and Evolvable Machines4(4):383--403December2003.
  to matching immune maps detection, self-organizing selection, negative systems, artificial rule, anomaly by brazovayeye on Jun 19, 2008, 5:35 PM
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• Getting It Right at the Very Start -- Building Project Models where Data Is Expensive by Combining Human Expertise, Machine Learning and Information Theory
  Frank D. Francone and Larry M. Deschaine 2004 Business and Industry Symposium, Washington, DC, April2004.
  to expert systems information Environmental machine anomaly learning, programming, genetic detection, Science, geophysics, algorithms, underground theory, by brazovayeye on Jun 19, 2008, 5:35 PM
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• Epileptic Seizure Detection Using Genetically Programmed Artificial Features
  Hiram Firpi and Erik D. Goodman and Javier Echauz IEEE Transactions on Biomedical Engineering54(2):212--224February2007.
  to reconstruction730.6 processing, electroencephalography, reconstructed signal detectors, classification, state-space epilepsy medical hr, programming, programmed k-nearest algorithms, neighbour patient-specific trajectories epileptic features, seizure diseases, genetic genetically detection, artificial classifier, by brazovayeye on Jun 19, 2008, 5:35 PM
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