tag :: machine algorithms, and

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1GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation
D. Thierens, H. Beyer, J. Bongard, J. Branke, J. Clark, D. Cliff, C. Congdon, K. Deb, B. Doerr, T. Kovacs and 11 other editor(s) (Eds.) London, UK, ACM Press, (7-11 July 2007)
17 years ago by @brazovayeye
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Adaptive
Algorithms,
Ant
Applications,
Artificial
Behaviour,
Biological
Coevolution,
Colony
Developmental
Distribution
Engineering
Estimation
Evolution
Evolutionary
Evolvable
Formal
Generative
Genetics-Based
Hardware,
Immune
Intelligence,
Learning,
Life,
Machine
Multiobjective
Optimisation,
Programming,
Real-World
Robotics,
Search-Based
Software
Strategies,
Swarm
Systems,
Theory,
algorithms,
and
genetic
of
programming,
AdaptiveAlgorithms,AntApplications,ArtificialBehaviour,BiologicalCoevolution,ColonyDevelopmentalDistributionEngineeringEstimationEvolutionEvolutionaryEvolvableFormalGenerativeGenetics-BasedHardware,ImmuneIntelligence,Learning,Life,MachineMultiobjectiveOptimisation,Programming,Real-WorldRobotics,Search-BasedSoftwareStrategies,SwarmSystems,Theory,algorithms,andgeneticofprogramming,
(0)
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1Parallel Problem Solving from Nature - PPSN VI 6th International Conference
M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J. Merelo, and H. Schwefel (Eds.) volume 1917 of LNCS, Paris, France, Springer Verlag, (16-20 September 2000)
17 years ago by @brazovayeye
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Co-evolution,
EA
EAs,
Software
algorithms
algorithms,
analysis
and
classifier
combinatorial
constraint
elevolutionary
environments,
evolvable
genetic
handling
hardware
implementions
learning
machine
mesaphors,
multiobjective
new
noisy
non-stationary
of
operators
optimisation,
programming,
representations
scheduling,
systems,
techniques,
theory
Co-evolution,EAEAs,Softwarealgorithmsalgorithms,analysisandclassifiercombinatorialconstraintelevolutionaryenvironments,evolvablegenetichandlinghardwareimplementionslearningmachinemesaphors,multiobjectivenewnoisynon-stationaryofoperatorsoptimisation,programming,representationsscheduling,systems,techniques,theory
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2Improving Modularity in Genetic Programming Using Graph-Based Data Mining
I. Jonyer, and A. Himes. Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, page 556--561. Melbourne Beach, Florida, USA, American Association for Artificial Intelligence, (May 2006)
17 years ago by @brazovayeye
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Discovery
Learning
Machine
algorithms,
and
genetic
programming,
DiscoveryLearningMachinealgorithms,andgeneticprogramming,
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1Automatic rainfall recharge model induction by evolutionary computational intelligence
Y. Hong, P. White, and D. Scott. Water Resources Research, (2005)
17 years ago by @brazovayeye
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0555
1805
1816
1829
1847
Canterbury
Computational
Estimation
Geophysics:
Groundwater
Hydrology:
Modelling
Neural
New
Plains,
Zealand,
algorithms,
and
automatic
balance
computational
evolutionary
forecasting;
fuzzy
genetic
hydrology;
induction,
intelligence,
learning;
logic,
machine
model
model,
moisture
networks,
programming,
rainfall
recharge
soil
05551805181618291847CanterburyComputationalEstimationGeophysics:GroundwaterHydrology:ModellingNeuralNewPlains,Zealand,algorithms,andautomaticbalancecomputationalevolutionaryforecasting;fuzzygenetichydrology;induction,intelligence,learning;logic,machinemodelmodel,moisturenetworks,programming,rainfallrechargesoil
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2Ensemble selection for evolutionary learning using information theory and price's theorem
S. Card, and C. Mohan. GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 2, page 1587--1588. Seattle, Washington, USA, ACM Press, (8-12 July 2006)
17 years ago by @brazovayeye
show all tags
Classifier
Genetics-Based
Learning
Learning:
Machine
Poster,
Price's
Systems
algorithms,
and
computation,
ensemble
equation,
evolutionary
genetic
group
mate
measurement,
models,
other
programming,
selection,
theory
ClassifierGenetics-BasedLearningLearning:MachinePoster,Price'sSystemsalgorithms,andcomputation,ensembleequation,evolutionarygeneticgroupmatemeasurement,models,otherprogramming,selection,theory
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1Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study
S. Bhattacharyya, and P. Pendharkar. Decision Sciences, 29 (4): 871--899 (Fall 1998)
17 years ago by @brazovayeye
show all tags
Analysis,
Discriminant
Inductive
Learning,
Machine
Networks
Neural
algorithms,
and
genetic
programming,
Analysis,DiscriminantInductiveLearning,MachineNetworksNeuralalgorithms,andgeneticprogramming,
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2Using genetic programming to classify node positive patients in bladder cancer
A. Almal, A. Mitra, R. Datar, P. Lenehan, D. Fry, R. Cote, and W. Worzel. GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page 239--246. Seattle, Washington, USA, ACM Press, (8-12 July 2006)
17 years ago by @brazovayeye
show all tags
Applications,
Biological
Nodal
algorithms
algorithms,
analysis,
and
bladder
cancer,
classification
classifier
concept
design
evaluation,
feature
genetic
induction,
learning
learning,
machine
measures,
pattern
program
programming,
rules,
selection,
similarity
staging,
synthesis
synthesis,
Applications,BiologicalNodalalgorithmsalgorithms,analysis,andbladdercancer,classificationclassifierconceptdesignevaluation,featuregeneticinduction,learninglearning,machinemeasures,patternprogramprogramming,rules,selection,similaritystaging,synthesissynthesis,
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1GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation

1Parallel Problem Solving from Nature - PPSN VI 6th International Conference

2Improving Modularity in Genetic Programming Using Graph-Based Data Mining

1Automatic rainfall recharge model induction by evolutionary computational intelligence

2Ensemble selection for evolutionary learning using information theory and price's theorem

1Inductive, Evolutionary, and Neural Computing Techniques for Discrimination: A Comparative Study

2Using genetic programming to classify node positive patients in bladder cancer

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