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2A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming
M. Zhang, V. Ciesielski, and P. Andreae. EURASIP Journal on Applied Signal Processing, 2003 (8): 841--859 (July 2003)Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis.
17 years ago by @brazovayeye
show all tags
algorithms,
computer
detection,
genetic
learning,
machine
networks,
neural
object
programming,
recognition,
target
vision
algorithms,computerdetection,geneticlearning,machinenetworks,neuralobjectprogramming,recognition,targetvision
(0)
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2Genetic Programming for Multiple Class Object Detection
M. Zhang, and V. Ciesielski. 12th Australian Joint Conference on Artificial Intelligence, volume 1747 of LNAI, page 180--192. Sydney, Australia, Springer-Verlag, (6-10 December 1999)
17 years ago by @brazovayeye
show all tags
Machine
Neural
Vision
algorithms,
genetic
learning,
networks,
programming,
MachineNeuralVisionalgorithms,geneticlearning,networks,programming,
(0)
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1Modelling rainfall-runoff using genetic programming
P. Whigham, and P. Crapper. Mathematical and Computer Modelling, 33 (6-7): 707--721 (2001)
17 years ago by @brazovayeye
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Chlorophyll-a
Machine
Time
algorithms,
genetic
learning,
modelling
modelling,
programming,
series
Chlorophyll-aMachineTimealgorithms,geneticlearning,modellingmodelling,programming,series
(0)
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1Induction of a marsupial density model using genetic programming and spatial relationships
P. Whigham. Ecological Modelling, 131 (2-3): 299--317 (2000)
17 years ago by @brazovayeye
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Habitat
Machine
Spatial
algorithms,
genetic
learning,
patterns,
prediction
programming,
HabitatMachineSpatialalgorithms,geneticlearning,patterns,predictionprogramming,
(0)
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2Evolving rule-based systems in two medical domains using genetic programming
A. Tsakonas, G. Dounias, J. Jantzen, H. Axer, B. Bjerregaard, and D. von Keyserlingk. Artificial Intelligence in Medicine, 32 (3): 195--216 (November 2004)
17 years ago by @brazovayeye
show all tags
Aphasia,
GP,
Genetic-fuzzy
Grammar
Hybrid
Inductive
Medical
Pap-smear
algorithms,
decision
driven
genetic
intelligence,
learning,
machine
making,
programming,
systems,
test
Aphasia,GP,Genetic-fuzzyGrammarHybridInductiveMedicalPap-smearalgorithms,decisiondrivengeneticintelligence,learning,machinemaking,programming,systems,test
(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 and 11 other editor(s) (Eds.) London, UK, ACM Press, (7-11 July 2007)
17 years ago by @brazovayeye
show all tags
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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2Internal reinforcement in a connectionist genetic programming approach
A. Teller, and M. Veloso. Artificial Intelligence, 120 (2): 165--198 (July 2000)
17 years ago by @brazovayeye
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Bucket
Evolutionary
Internal
Machine
Neural
Signal
algorithms,
brigade
computation,
genetic
learning,
programming,
reinforcement,
understanding,
BucketEvolutionaryInternalMachineNeuralSignalalgorithms,brigadecomputation,geneticlearning,programming,reinforcement,understanding,
(0)
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1Automated Discovery of Numerical Approximation Formulae Via Genetic Programming
M. Streeter. Computer Science, Worcester Polytechnic Institute, MA, USA, (May 2001)
17 years ago by @brazovayeye
show all tags
algorithms,
approximations,
artificial
genetic
intelligence
learning,
machine
programming,
algorithms,approximations,artificialgeneticintelligencelearning,machineprogramming,
(0)
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1Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach
P. Reiser, and P. Riddle. Applied Intelligence, 15 (3): 181--197 (November 2001)Special Issue: Simulated Evolution and Learning.
17 years ago by @brazovayeye
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ILP
algorithms,
evolutionary
genetic
inductive
learning,
logic
machine
programming,
sampling,
ILPalgorithms,evolutionarygeneticinductivelearning,logicmachineprogramming,sampling,
(0)
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1High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization
S. Regmi, L. Deschaine, and S. Regmi. 2004 Business and Industry Symposium, Washington, DC, USA, (April 2004)
17 years ago by @brazovayeye
show all tags
Learning,
Machine
Optimisation
Simulation,
algorithms,
genetic
programming,
Learning,MachineOptimisationSimulation,algorithms,geneticprogramming,
(0)
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5A field guide to genetic programming
R. Poli, W. Langdon, and 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 years ago by @brazovayeye
show all tags
algorithms,
artificial
automatic
computation
evolutionary
genetic
intelligence,
learning,
machine
programming,
algorithms,artificialautomaticcomputationevolutionarygeneticintelligence,learning,machineprogramming,
(0)
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1Genetic Programming, Proceedings of EuroGP'2001
J. Miller, M. Tomassini, P. Lanzi, C. Ryan, A. Tettamanzi, and W. Langdon (Eds.) volume 2038 of LNCS, Lake Como, Italy, Springer-Verlag, (18-20 April 2001)
17 years ago by @brazovayeye
show all tags
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,
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2Balancing Accuracy and Parsimony in Genetic Programming
B. Zhang, and H. Mühlenbein. Evolutionary Computation, 3 (1): 17--38 (1995)
17 years ago by @brazovayeye
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Bayesian
Evolving
Machine
Minimum
Tree
algorithms,
comparison,
description
genetic
induction,
learning,
length
model
networks.
neural
principle,
programming,
BayesianEvolvingMachineMinimumTreealgorithms,comparison,descriptiongeneticinduction,learning,lengthmodelnetworks.neuralprinciple,programming,
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2Evolutionary Program Induction Directed by Logic Grammars
M. Wong, and K. Leung. Evolutionary Computation, 5 (2): 143--180 (summer 1997)
17 years ago by @brazovayeye
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Machine
algorithms,
genetic
grammars
learning,
logic
programming,
Machinealgorithms,geneticgrammarslearning,logicprogramming,
(0)
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1Online modelling based on Genetic Programming
S. Winkler, H. Efendic, L. Del Re, M. Affenzeller, and S. Wagner. International Journal of Intelligent Systems Technologies and Applications, 2 (2/3): 255--270 (19 February 2007)
17 years ago by @brazovayeye
show all tags
GP,
algorithms,
automatic
data
diagnosis,
driven
fault
genetic
identification,
learning,
machine
model
modelling,
online
programming,
real
self-adaption,
time
GP,algorithms,automaticdatadiagnosis,drivenfaultgeneticidentification,learning,machinemodelmodelling,onlineprogramming,realself-adaption,time
(0)
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29Computing Machinery and Intelligence
A. Turing. Mind, (January 1950)
17 years ago by @brazovayeye
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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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2Applying Online Gradient Descent Search to Genetic Programming for Object Recognition
W. Smart, and M. Zhang. CRPIT '04: Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation, 32 no. 7, page 133--138. Dunedin, New Zealand, Australian Computer Society, Inc., (January 2004)
17 years ago by @brazovayeye
show all tags
algorithms,
classification
data
genetic
learning,
machine
mining,
object
programming,
algorithms,classificationdatageneticlearning,machinemining,objectprogramming,
(0)
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1An implementation of genetic algorithms for rule based machine learning
S. Sette, and L. Boullart. Engineering Applications of Artificial Intelligence, 13 (4): 381--390 (2000)
17 years ago by @brazovayeye
show all tags
Fuzzy
Genetic
Learning
Production
Textiles,
algorithms,
based
classifier
efficiency
genetic
learning,
machine
process
programming,
systems,
FuzzyGeneticLearningProductionTextiles,algorithms,basedclassifierefficiencygeneticlearning,machineprocessprogramming,systems,
(0)
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2Evolving Agents
A. Qureshi. Research Note, RN/96/4. UCL, Gower Street, London, WC1E 6BT, UK, (January 1996)
17 years ago by @brazovayeye
show all tags
(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,
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publications (hide)57
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2A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming

2Genetic Programming for Multiple Class Object Detection

1Modelling rainfall-runoff using genetic programming

1Induction of a marsupial density model using genetic programming and spatial relationships

2Evolving rule-based systems in two medical domains using genetic programming

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

2Internal reinforcement in a connectionist genetic programming approach

1Automated Discovery of Numerical Approximation Formulae Via Genetic Programming

1Scaling Up Inductive Logic Programming: An Evolutionary Wrapper Approach

1High Fidelity Approximation of Slow Simulators Using Machine Learning for Real-time Simulation/Optimization

5A field guide to genetic programming

1Genetic Programming, Proceedings of EuroGP'2001

2Balancing Accuracy and Parsimony in Genetic Programming

2Evolutionary Program Induction Directed by Logic Grammars

1Online modelling based on Genetic Programming

29Computing Machinery and Intelligence

2Applying Online Gradient Descent Search to Genetic Programming for Object Recognition

1An implementation of genetic algorithms for rule based machine learning

2Evolving Agents

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