tag :: machine algorithms, artificial

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1The Use of Machine Learning and Neural Networks in the Digital Economy and International Digital Integration
D. Okhunov. Journal of Ethics and Diversity in International Communication, 3 (2): 79-84 (февраля 2023)
2 лет назад , @openaccess_20
algorithms,
approach,
artificial
intelligence,
learning,
logical
machine
networks
neural
neurocybernetic
algorithms,approach,artificialintelligence,learning,logicalmachinenetworksneuralneurocybernetic
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1Machine learning methods without tears: a primer for ecologists.
J. Olden, J. Lawler, и N. Poff. The Quarterly Review of biology, 83 (2): 171--193 (2008)
8 лет назад , @yourwelcome
Animals,
Artificial
Decision
Ecosystem,
Fishes:
Genetic,
Intelligence,
Learning,
Machine
Software,
Species
Specificity,
Trees,
\&
algorithms,
biology,
classification,
computational
data
ecology,
fish,
freshwater,
networks,
neural
numerical
statistics
Animals,ArtificialDecisionEcosystem,Fishes:Genetic,Intelligence,Learning,MachineSoftware,SpeciesSpecificity,Trees,\&algorithms,biology,classification,computationaldataecology,fish,freshwater,networks,neuralnumericalstatistics
(0)
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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 и 11 other редактор(ы) (Ред.) London, UK, ACM Press, (7-11 July 2007)
17 лет назад , @brazovayeye
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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1Automated Discovery of Numerical Approximation Formulae Via Genetic Programming
M. Streeter. Computer Science, Worcester Polytechnic Institute, MA, USA, (мая 2001)
17 лет назад , @brazovayeye
algorithms,
approximations,
artificial
genetic
intelligence
learning,
machine
programming,
algorithms,approximations,artificialgeneticintelligencelearning,machineprogramming,
(0)
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5A field guide to genetic programming
R. Poli, W. Langdon, и N. McPhee. Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk, (2008)(With contributions by J. R. Koza).
17 лет назад , @brazovayeye
algorithms,
artificial
automatic
computation
evolutionary
genetic
intelligence,
learning,
machine
programming,
algorithms,artificialautomaticcomputationevolutionarygeneticintelligence,learning,machineprogramming,
(0)
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1Neural network and genetic programming for modelling coastal algal blooms
N. Muttil, и K. Chau. International Journal of Environment and Pollution, 28 (3/4): 223--238 (6 November 2006)
17 лет назад , @brazovayeye
Hong
Kong,
algal
algorithms,
artificial
biomass,
blooms,
environmental
genetic
harmful
learning
machine
modelling,
networks,
neural
pollution,
programming,
quality
simulation
techniques,
water
HongKong,algalalgorithms,artificialbiomass,blooms,environmentalgeneticharmfullearningmachinemodelling,networks,neuralpollution,programming,qualitysimulationtechniques,water
(0)
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1Genetic Programming, Proceedings of EuroGP'2001
J. Miller, M. Tomassini, P. Lanzi, C. Ryan, A. Tettamanzi, и W. Langdon (Ред.) том 2038 из LNCS, Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 лет назад , @brazovayeye
Active
Animat,
Arm,
Artificial
BDD,
Bloat,
Block-oriented
Boolean
CAD,
Causality,
Cellular
Character
Complexity,
Computational
Contour
Controller
Crossover
DNA,
Developmental
Discovery,
Dynamic
Evolution
Evolution,
Evolvability,
Evolvable
Extraction,
Feature
Fitness,
Fixed
Function
Generator,
Genetic
Genotype-Phenotype
Grammatical
Hardware,
Image
Intrinsic
Inverse
Iterated
Kinematics,
Knowledge
Layered
Learning,
Length
Linear
MAX
Machine
Mapping,
Multi-expression
Multipopulation
Neutral
One-then-zeros
Parallel
Pattern
Polymorphism,
Problem
Problem,
Process
Program
Reasoning,
Recognition,
Regression,
Retina,
Robotic
STGP,
Series
Symbolic
Systems,
Time
Trees,
Turing
VHDL,
VLSI
algorithms,
bias,
control,
design,
detection,
distributed
distributions,
function
genetic
individuals,
landscape,
machines,
model,
modelling,
modular
mutation,
of
points,
prediction,
problem,
processing,
programming,
representation,
representations,
robot,
robust,
size,
structures,
ActiveAnimat,Arm,ArtificialBDD,Bloat,Block-orientedBooleanCAD,Causality,CellularCharacterComplexity,ComputationalContourControllerCrossoverDNA,DevelopmentalDiscovery,DynamicEvolutionEvolution,Evolvability,EvolvableExtraction,FeatureFitness,FixedFunctionGenerator,GeneticGenotype-PhenotypeGrammaticalHardware,ImageIntrinsicInverseIteratedKinematics,KnowledgeLayeredLearning,LengthLinearMAXMachineMapping,Multi-expressionMultipopulationNeutralOne-then-zerosParallelPatternPolymorphism,ProblemProblem,ProcessProgramReasoning,Recognition,Regression,Retina,RoboticSTGP,SeriesSymbolicSystems,TimeTrees,TuringVHDL,VLSIalgorithms,bias,control,design,detection,distributeddistributions,functiongeneticindividuals,landscape,machines,model,modelling,modularmutation,ofpoints,prediction,problem,processing,programming,representation,representations,robot,robust,size,structures,
(0)
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29Computing Machinery and Intelligence
A. Turing. Mind, (января 1950)
17 лет назад , @brazovayeye
Artificial
Cognitive
Intelligence,
Language,
Learning,
Machine
Mind,
Philosophy
Psychology,
Robotics
algorithms,
genetic
of
programming,
ArtificialCognitiveIntelligence,Language,Learning,MachineMind,PhilosophyPsychology,Roboticsalgorithms,geneticofprogramming,
(0)
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2Evolving Agents
A. Qureshi. Research Note, RN/96/4. UCL, Gower Street, London, WC1E 6BT, UK, (января 1996)
17 лет назад , @brazovayeye
(ADF)
AI,
Agent
Artificial
Automatic
Automatically
Based
Code
Communication,
Computing,
Defined
Distributed
Evolution,
Functions
Generation,
Learning,
Machine
Programming,
algorithms,
genetic
programming,
(ADF)AI,AgentArtificialAutomaticAutomaticallyBasedCodeCommunication,Computing,DefinedDistributedEvolution,FunctionsGeneration,Learning,MachineProgramming,algorithms,geneticprogramming,
(0)
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2Using Data Structures within Genetic Programming
W. Langdon. Genetic Programming 1996: Proceedings of the First Annual Conference, стр. 141--148. Stanford University, CA, USA, MIT Press, (28--31 July 1996)
17 лет назад , @brazovayeye
(ADF),
Artificial
Automatic
Automatically
CFG,
Data
Defined
Demes
Dyck
Evolution,
Expressions,
Functions
Learning,
Machine
Object
Oriented
Pareto
Polish
Programming,
Push
Reverse
Stack,
Structures,
algorithms,
automatic
brackets,
code
context
down
fitness,
free
generation,
genetic
grammar
induction,
language
language,
matched
programming,
(ADF),ArtificialAutomaticAutomaticallyCFG,DataDefinedDemesDyckEvolution,Expressions,FunctionsLearning,MachineObjectOrientedParetoPolishProgramming,PushReverseStack,Structures,algorithms,automaticbrackets,codecontextdownfitness,freegeneration,geneticgrammarinduction,languagelanguage,matchedprogramming,
(0)
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2Using Data Structures within Genetic Programming
W. Langdon. Research Note, RN/96/1. UCL, Gower Street, London, WC1E 6BT, UK, (января 1996)
17 лет назад , @brazovayeye
(ADF),
Artificial
Automatic
Automatically
Data
Defined
Demes
Evolution,
Expressions,
Functions
Learning,
Machine
Object
Oriented
Pareto
Polish
Programming,
Push
Reverse
Stack,
Structures,
algorithms,
automatic
code
context
down
fitness,
free
generation,
genetic
induction,
language
programming,
(ADF),ArtificialAutomaticAutomaticallyDataDefinedDemesEvolution,Expressions,FunctionsLearning,MachineObjectOrientedParetoPolishProgramming,PushReverseStack,Structures,algorithms,automaticcodecontextdownfitness,freegeneration,geneticinduction,languageprogramming,
(0)
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1Directed Crossover within Genetic Programming
W. Langdon. Research Note, RN/95/71. University College London, Gower Street, London WC1E 6BT, UK, (сентября 1995)
17 лет назад , @brazovayeye
Artificial
Automatic
Evolution
Learning,
Machine
Programming,
algorithms,
genetic
programming,
ArtificialAutomaticEvolutionLearning,MachineProgramming,algorithms,geneticprogramming,
(0)
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1Pareto, Population Partitioning, Price and Genetic Programming
W. Langdon. Research Note, RN/95/29. University College London, Gower Street, London WC1E 6BT, UK, (апреля 1995)
17 лет назад , @brazovayeye
Artificial
Automatic
Demes
Evolution,
Learning,
Machine
Pareto
Programming,
algorithms,
fitness,
genetic
programming,
ArtificialAutomaticDemesEvolution,Learning,MachineParetoProgramming,algorithms,fitness,geneticprogramming,
(0)
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2Evolving Data Structures Using Genetic Programming
W. Langdon. Genetic Algorithms: Proceedings of the Sixth International Conference (ICGA95), стр. 295--302. Pittsburgh, PA, USA, Morgan Kaufmann, (15-19 July 1995)
17 лет назад , @brazovayeye
(ADF),
(FIFO)
Artificial
Automatic
Automatically
Data
Defined
Demes
Evolution,
First-in
Functions
Learning,
Machine
Object
Oriented
Pareto
Programming,
Push
Queue,
Stack,
Structures,
algorithms,
down
first-out
fitness,
genetic
programming,
(ADF),(FIFO)ArtificialAutomaticAutomaticallyDataDefinedDemesEvolution,First-inFunctionsLearning,MachineObjectOrientedParetoProgramming,PushQueue,Stack,Structures,algorithms,downfirst-outfitness,geneticprogramming,
(0)
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2Evolving Data Structures Using Genetic Programming
W. Langdon. Research Note, RN/95/1. UCL, Gower Street, London, WC1E 6BT, UK, (января 1995)
17 лет назад , @brazovayeye
(ADF),
(FIFO)
Artificial
Automatic
Automatically
Data
Defined
Demes
Evolution,
First-in
Functions
Learning,
Machine
Object
Oriented
Pareto
Programming,
Push
Queue,
Stack,
Structures,
algorithms,
down
first-out
fitness,
genetic
programming,
(ADF),(FIFO)ArtificialAutomaticAutomaticallyDataDefinedDemesEvolution,First-inFunctionsLearning,MachineObjectOrientedParetoProgramming,PushQueue,Stack,Structures,algorithms,downfirst-outfitness,geneticprogramming,
(0)
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2Evolving problem heuristics with on-line ACGP
C. Janikow. Late breaking paper at Genetic and Evolutionary Computation Conference (GECCO'2007), стр. 2503--2508. London, United Kingdom, ACM Press, (7-11 July 2007)
17 лет назад , @brazovayeye
STGP,
algorithms,
ant
artificial
genetic
heuristics,
learning,
machine
programming,
STGP,algorithms,antartificialgeneticheuristics,learning,machineprogramming,
(0)
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1On synchronized evolution of the network of automata
Y. Inagaki. University of California, Irvine, (1999)
17 лет назад , @brazovayeye
Artificial
Computer
Sequential
algorithms,
genetic
intelligence
machine
programming,
science,
theory,
ArtificialComputerSequentialalgorithms,geneticintelligencemachineprogramming,science,theory,
(0)
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1Genetic Programming
H. Hirsh, W. Banzhaf, J. Koza, C. Ryan, L. Spector, и C. Jacob. IEEE Intelligent Systems, 15 (3): 74--84 (мая 2000)
17 лет назад , @brazovayeye
algorithms,
arbitrary
artificial
automatic
code
computational
computer
evolution,
genetic
intelligence,
machine
processes
programming,
algorithms,arbitraryartificialautomaticcodecomputationalcomputerevolution,geneticintelligence,machineprocessesprogramming,
(0)
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1Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation
C. Burgess, и M. Lefley. Machine Learning Applications In Software Engineering: Series on Software Engineering and Knowledge Engineering, 16, World Scientific Publishing Co., (мая 2005)
17 лет назад , @brazovayeye
Artificial
Intelligence,
Learning
Machine
algorithms,
genetic
programming,
ArtificialIntelligence,LearningMachinealgorithms,geneticprogramming,
(0)
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1The Use of Machine Learning and Neural Networks in the Digital Economy and International Digital Integration

1Machine learning methods without tears: a primer for ecologists.

1GECCO 2007: Proceedings of the 9th annual conference on Genetic and evolutionary computation

1Automated Discovery of Numerical Approximation Formulae Via Genetic Programming

5A field guide to genetic programming

1Neural network and genetic programming for modelling coastal algal blooms

1Genetic Programming, Proceedings of EuroGP'2001

29Computing Machinery and Intelligence

2Evolving Agents

2Using Data Structures within Genetic Programming

2Using Data Structures within Genetic Programming

1Directed Crossover within Genetic Programming

1Pareto, Population Partitioning, Price and Genetic Programming

2Evolving Data Structures Using Genetic Programming

2Evolving Data Structures Using Genetic Programming

2Evolving problem heuristics with on-line ACGP

1On synchronized evolution of the network of automata

1Genetic Programming

1Can Genetic Programming improve Software Effort Estimation? A Comparative Evaluation

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