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Xuejun Tan and B. Bhanu and Yingqiang Lin IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews35(3):287--300(
Aug)
to extraction, Bayes feature-learning classification, fingerprint methods, programming, method, discovery, processing NIST-4 feature algorithms, primitive Bayesian algorithm, image (artificial learning operator composite intelligence), visual databases genetic classification identification, database, operations classifier, by brazovayeye on Jun 19, 2008, 5:46 PMNikolay Y. Nikolaev and Hitoshi Iba IEEE Transactions on Evolutionary Computing54(4):359--375August2001. to series searching, bias, data mining, (artificial learning statistical prediction, inductive intelligence), time regularization, tree structures, programming, search genetic multivariate algorithms, nodes, STROGANOFF,local Kolmogorov-Gabor polynomials, by brazovayeye and 1 other person on Jun 19, 2008, 5:46 PMDurga Prasad Muni and Nikhil R. Pal and Jyotirmoy Das IEEE Transactions on Systems, Man and Cybernetics, Part B36(1):106--117February2006. to extraction, algorithm, scheme, (artificial learning c-class selection classification, online Classification, intelligence), programming, pattern problem, genetic evolutionary classifier feature algorithms, ranking design classifier, by brazovayeye and 2 other people on Jun 19, 2008, 5:46 PMG. C. Wilson and M. I. Heywood IEEE CCECE 2002: IEEE Canadian Conference on Electrical and Computer Engineering, 2, page809--814. IEEE Press, 12-15 May2002. to fitness simple trail, strategies, change, effective crossover programming, search sequences, operator, algorithms, instructions, Learning, problems, memories, Strategy strategy (artificial code learning Mateo San register intelligence), genetic artificial ants, based by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM- 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
Kenneth E. Kinnear, Jr. Proceedings of the 1994 IEEE World Conference on Computational Intelligence, 1, page142--147. Orlando, Florida, USA, IEEE Press, 27-29 June1994. to problems, basin adaptive fitness depths, random (artificial autocorrelation, learning landscape landscapes, algorithm intelligence), walks walks, programming, measures, search genetic algorithms, theory, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMShotaro Kamio and Hitoshi Iba IEEE Transactions on Evolutionary Computation9(3):318--333June2005. to Q-learning HOAP-1 technique, robots, robot, learning, real humanoid programming, method, moving, evolutionary Adaptation algorithms, computation, adaptive AIBO (artificial learning locomotion, task, adaptation intelligence), genetic four-legged legged (RL) box systems, box-moving reinforcement by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMMichael Iles and Dwight Deugo Proceedings 21st IEEE Symposium on Reliable Distributed Systems, page341--346. 13-16 October2002. to computer simulated routing, location routing strategies, flow network peer-to-peer scenarios telecommunication programming, event techniques, simulation, algorithms, protocols, resource (artificial optimization, learning machine networks, protocol, network, intelligence), Gnutella traffic discrete genetic by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMDaniel Howard and Simon C. Roberts Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, 6-9 July2000. to evolution, computing, equations, i,mpact refinement engineering densities, ball, impact learning, metal differential rule evolutionary mechanical applications algorithms, mesh computation, Programming, impact, speed adaptive (mechanical), plate (artificial learning partial spherical material intelligence), cells, refinement, genetic high dynamics, novel by brazovayeye on Jun 19, 2008, 5:35 PMGianluigi Folino and Clara Pizzuti and Giandomenico Spezzano Proceedings of the 13th International Conference on Tools with Artificial Intelligence, page129--135. Dallas, TX USA, IEEE, 7-9 November2001. to parallel scalability function, fitness trees, data (artificial learning machine repository, decision sets, intelligence), tree programming, J-measure, genetic UCI grid algorithms, model, induction, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMHans K. G. Fernlund and Avelino J. Gonzalez and Michael Georgiopoulos and Ronald F. DeMara IEEE Transactions on Systems, Man and Cybernetics, Part B36(1):128--140February2006. to agents, inference knowledge tactical reasoning, context-based observation, simulation Context-based acquisition, learning, software programming, performance algorithms, elicitation, (artificial learning development, agent human intelligence), modeling, mechanisms, genetic behavioural behavioral representation, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMStefan Elfwing and Eiji Uchibe and Kenji Doya and Henrik I. Christensen IEEE Transactions on Evolutionary Computation11(2):249--264April2007. to task (artificial learning development, RL learning, task, MAXQ hierarchical intelligence), structures, programming, decomposition method, genetic evolutionary foraging algorithms, reinforcement Lamarckian by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMToru Eguchi and Kotaro Hirasawa and Jinglu Hu and Nathan Ota IEEE Transactions on Systems, Man, and Cybernetics, Part B36(1):179--193February2006. to virtual evolution, graph, Evolutionary nash type decision symbiotic learning, network tile-world symbiosis graph programming, evolutionary making, symbiosis, algorithms, multiagent theory, computation, tile-world, (artificial learning intelligence), multi-agent equilibria, genetic directed match systems, model, models, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM- to decision, computational transaction (artificial technical learning processes, costs learning, Markov heuristic, intelligence), trading, programming, genetic algorithms, foreign reinforcement exchange by brazovayeye on Jun 19, 2008, 5:35 PM
Siddhartha Bhattacharyya and Olivier V. Pictet and Gilles Zumbach IEEE Transactions on Evolutionary Computation6(2):169--181April2002. to indicator model knowledge fitness processing, data mining, knowledge-intensive decision learning, structuring, arithmetic trading, properties, programming, discovery, criteria, algorithms, high-frequency symmetry, trading exchange risk-adjusted financial robust measure, markets, types, mathematical return semantic restrictions, (artificial learning machine comparison intelligence), domain-related logical genetic specification performance, operators, symmetry representation, foreign optimisation by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PMRicardo Aler and Daniel Borrajo and Pedro Isasi Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page1220--1227. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, 27-30 May2001. to blocksworld computational knowledge PRODIGY, type learning, Control syntax, of programming, search rule ad-hoc algorithms, GP, control problems, standard select linguistics, space, flexibility, system, rules, restrictions, (artificial learning grammars, EVOCK, grammar intelligence), mechanisms, domain, planning GP genetic specific, approach AI language Knowledge, language, based Evolution by brazovayeye on Jun 19, 2008, 5:35 PM
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