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publications
Mengjie Zhang International Journal on Artificial Intelligence Tools16(5):849--873October2007. to networks function, fitness neural object learning, programming, size, genetic program two-phase target algorithms, recognition, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PMMengjie 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
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to computer vision neural object machine networks, learning, programming, genetic detection, target algorithms, recognition, by brazovayeye on Jun 19, 2008, 5:46 PMMengjie 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 PMP. 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 PMP. 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 PMPaul Vitanyi Theoretical Computer Science241(1--2):3--2328 June2000. to Complexity, Learning, Evolutionary Multiagent Structures Algorithms, Computing, and Data Neural programming, Intelligence, genetic Artificial Computational algorithms, Systems by brazovayeye on Jun 19, 2008, 5:46 PM- 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
Alexander Topchy and William F. Punch Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), page155--162. San Francisco, California, USA, Morgan Kaufmann, 7-11 July2001. to regression symbolic differentiation, optimization, effect, learning, Baldwin programming, genetic algorithmic, algorithms, Lamarckian gradient by brazovayeye on Jun 19, 2008, 5:46 PM- 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
Claire J. Thie and Christophe Giraud-Carrier IEEE Transactions on Knowledge and Data Engineering17(12):1664--1677(
2005)
to programming programming, genetic evolutionary Concept algorithms, typed learning, STGP, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PMAstro 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 PMBorge Svingen GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page957--958. Seattle, Washington, USA, ACM Press, 8-12 July2006. to Learning, Poster, programming: languages, Experimentation, implementation, lisp, Intelligence, genetic Artificial Performance algorithms, C, Performance, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PM- to programming, genetic approximations, algorithms, machine artificial learning, intelligence by brazovayeye on Jun 19, 2008, 5:46 PM
- to PSALM, evolution, self-reference, brigade, algorithm, bucket SALM, meta, associative introsepection, learning, programming genetic EURISKO, genetical nets, algorithms, fractals neuronal by brazovayeye on Jun 19, 2008, 5:46 PM
Kumara Sastry and David E. Goldberg Genetic Programming Theory and Practise, chapter 13, Kluwer, (
2003)
to model program, Linkage Competent building, learning, algorithm compact programming, Probabilistic genetic Extended adaptation, algorithms, by brazovayeye on Jun 19, 2008, 5:46 PMR. P. Salustowicz and J. Schmidhuber Machine Learning: ECML-97, volume1224ofLecture Notes in Artificial Intelligence, page213--220. Springer-Verlag, (
1997)
to Learning, Search programming, genetic Incremental algorithms, Population-Based Program Stochastic by brazovayeye and 3 other people on Jun 19, 2008, 5:46 PM- to evolution, coevolution functions, PIPE, TD-Q learning, soccer, evaluation program incremental multiagent probabilistic reinforcement by brazovayeye and 3 other people on Jun 19, 2008, 5:46 PM
- to Evolution, Learning, Incremental environments languages, Population-Based stochastic search, programming programming, genetic program algorithms, partially Program observable probabilistic by brazovayeye and 3 other people on Jun 19, 2008, 5:46 PM
Philip G. K. Reiser and Patricia J. Riddle Applied Intelligence15(3):181--197November-December2001. Special Issue: Simulated Evolution and Learning
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to inductive sampling, ILP programming, genetic evolutionary algorithms, machine logic learning, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PMSudip 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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