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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
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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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1Visual Learning by Evolutionary and Coevolutionary Feature Synthesis
K. Krawiec, and B. Bhanu. IEEE Transactions on Evolutionary Computation, 11 (5): 635--650 (October 2007)
17 years ago by @brazovayeye
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algorithms,
coevolution
cooperative
genetic
learning,
pattern
programming,
recognition,
visual
algorithms,coevolutioncooperativegeneticlearning,patternprogramming,recognition,visual
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1Generative Learning of Visual Concepts using Multiobjective Genetic Programming
K. Krawiec. Pattern Recognition Letters, 28 (16): 2385--2400 (1 December 2007)
17 years ago by @brazovayeye
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Evolutionary
Generative
Visual
algorithms,
genetic
learning,
of
pattern
programming,
recognition
recognition,
synthesis
systems
EvolutionaryGenerativeVisualalgorithms,geneticlearning,ofpatternprogramming,recognitionrecognition,synthesissystems
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1Application of genetic programming for multicategory pattern classification
J. Kishore, L. Patnaik, V. Mani, and V. Agrawal. IEEE Transactions on Evolutionary Computation, 4 (3): 242--258 (September 2000)
17 years ago by @brazovayeye
show all tags
GP,
SA
algorithms,
association
choice,
classification,
conflict
discriminant
distribution,
distribution-free
function
function,
genetic
heuristic
incremental
learning,
measure,
methods,
multicategory
pattern
programming,
resolution
rules,
set
sets,
statistical
strength
training
two-category
GP,SAalgorithms,associationchoice,classification,conflictdiscriminantdistribution,distribution-freefunctionfunction,geneticheuristicincrementallearning,measure,methods,multicategorypatternprogramming,resolutionrules,setsets,statisticalstrengthtrainingtwo-category
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2Knowledge reuse in genetic programming applied to visual learning
W. Jaskowski, K. Krawiec, and B. Wieloch. GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, 2, page 1790--1797. London, ACM Press, (7-11 July 2007)
17 years ago by @brazovayeye
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Genetics-Based
Learning,
Machine
algorithms,
genetic
knowledge
pattern
programming,
recognition
reuse,
Genetics-BasedLearning,Machinealgorithms,geneticknowledgepatternprogramming,recognitionreuse,
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1Pattern Recognition via Machine Learning with Genetic Decision-Programming
C. Hoff. Department of Computer Science and Engineering, Wright State University, (2005)
17 years ago by @brazovayeye
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(0984),
Computation,
Computer
Decision-Programming
Evolutionary
Genetic
Learning,
Machine
Pattern
Recognition,
Science
algorithms,
genetic
programming,
(0984),Computation,ComputerDecision-ProgrammingEvolutionaryGeneticLearning,MachinePatternRecognition,Sciencealgorithms,geneticprogramming,
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2Evolutionary Synthesis of Pattern Recognition Systems
B. Bhanu, Y. Lin, and K. Krawiec. Monographs in Computer Science Springer-Verlag, New York, (2005)
17 years ago by @brazovayeye
show all tags
Computer
Image
Object
Pattern
algorithms,
detection,
feature
genetic
learning,
processing,
programming,
recognition
synthesis,
vision,
visual
ComputerImageObjectPatternalgorithms,detection,featuregeneticlearning,processing,programming,recognitionsynthesis,vision,visual
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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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1Genetic Programming, Proceedings of EuroGP'2001

1Visual Learning by Evolutionary and Coevolutionary Feature Synthesis

1Generative Learning of Visual Concepts using Multiobjective Genetic Programming

1Application of genetic programming for multicategory pattern classification

2Knowledge reuse in genetic programming applied to visual learning

1Pattern Recognition via Machine Learning with Genetic Decision-Programming

2Evolutionary Synthesis of Pattern Recognition Systems

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

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