Zhang > programming, Fitness

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2Improving Object Detection Performance with Genetic Programming
M. Zhang. International Journal on Artificial Intelligence Tools, 16 (5): 849--873 (October 2007)
17 years ago by @brazovayeye
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genetic
recognition,
neural
function,
program
size,
networks
target
algorithms,
learning,
programming,
fitness
object
two-phase
geneticrecognition,neuralfunction,programsize,networkstargetalgorithms,learning,programming,fitnessobjecttwo-phase
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1GAPS: A Genetic Programming System
D. Zhang, and M. Kramer. International Journal on Artificial Intelligence Tools, 12 (2): 187--206 (June 2003)
17 years ago by @brazovayeye
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genetic
algorithms,
operations,
programming,
Evolutionary
GP
fitness
evaluation,
introns
computation,
geneticalgorithms,operations,programming,EvolutionaryGPfitnessevaluation,intronscomputation,
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1Improving Fitness Function and Optimising Training Data in GP for Object Detection
M. Zhang, and M. Lett. CS-TR-06-8. Computer Science, Victoria University of Wellington, New Zealand, (2006)
17 years ago by @brazovayeye
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Fitness
genetic
algorithms,
examples,
recognition,
programming,
detection,
localisation
classification,
training
function,
object
Fitnessgeneticalgorithms,examples,recognition,programming,detection,localisationclassification,trainingfunction,object
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1Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data
M. Zhang, and M. Lett. The IEEE Intelligent Informatics Bulletin, 7 (1): 12--21 (December 2006)
17 years ago by @brazovayeye
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genetic
recognition,
data
training
function,
computing,
algorithms,
programming,
detection,
localisation,
fitness
classification,
evolutionary
object
geneticrecognition,datatrainingfunction,computing,algorithms,programming,detection,localisation,fitnessclassification,evolutionaryobject
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1Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification
M. Zhang, and W. Smart. Pattern Recognition Letters, 27 (11): 1266--1274 (August 2006)Evolutionary Computer Vision and Image Understanding.
17 years ago by @brazovayeye
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based
Fitness
genetic
algorithms,
recognition,
programming,
detection,
Probability
Object
function,
Multiclass
classification
basedFitnessgeneticalgorithms,recognition,programming,detection,ProbabilityObjectfunction,Multiclassclassification
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2Mining Predicate Association Rule by Gene Expression Programming
J. Zuo, C. Tang, and T. Zhang. Advances in Web-Age Information Management, Third International Conference, WAIM 2002, volume 2419 of Lecture Notes in Computer Science, page 92--103. Beijing, China, Springer, (11-13 August 2002)
17 years ago by @brazovayeye
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Fitness
genetic
algorithms,
rule,
gene
Chromosome,
programming,
association
expression
Predicate
Fitnessgeneticalgorithms,rule,geneChromosome,programming,associationexpressionPredicate
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1Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees
B. Zhang, and H. Mühlenbein. Advances in Genetic Programming 2, chapter 12, MIT Press, Cambridge, MA, USA, (1996)
17 years ago by @brazovayeye
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Razor,
genetic
functions
neural
length
description
(MDL),
adaptive
algorithms,
programming,
fitness
Occam's
minimum
trees,
Razor,geneticfunctionsneurallengthdescription(MDL),adaptivealgorithms,programming,fitnessOccam'sminimumtrees,
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3A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming
H. Xie, M. Zhang, and P. Andreae. CS-TR-06-3. Computer Science, Victoria University of Wellington, New Zealand, (2006)
17 years ago by @brazovayeye
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Fitness
genetic
algorithms,
clustering
programming,
predecessor
evaluation,
good
programs,
population
Fitnessgeneticalgorithms,clusteringprogramming,predecessorevaluation,goodprograms,population
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1Genetic programming-based Alife techniques for evolving collective robotic intelligence
D. Cho, and B. Zhang. Proceedings 4th International Symposium on Artificial Life and Robotics, page 236--239. B-Con Plaza, Beppu, Oita, Japan, (19-22 January 1999)
17 years ago by @brazovayeye
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genetic
artificial
algorithms,
selection
learning,
programming,
data
fitness
training
multiagent
switching,
life,
geneticartificialalgorithms,selectionlearning,programming,datafitnesstrainingmultiagentswitching,life,
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2New Fitness Functions in Genetic Programming for Object Detection
M. Lett, and M. Zhang. Proceeding of Image and Vision Computing International Conference, page 441--446. Akaroa, New Zealand, Lincoln, Landcare Research, (November 2004)
17 years ago by @brazovayeye
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genetic
algorithms,
programming,
detection,
function
localisation,
fitness
object
geneticalgorithms,programming,detection,functionlocalisation,fitnessobject
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publications (hide)10
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2Improving Object Detection Performance with Genetic Programming

1GAPS: A Genetic Programming System

1Improving Fitness Function and Optimising Training Data in GP for Object Detection

1Genetic Programming for Object Detection: Improving Fitness Functions and Optimising Training Data

1Using Gaussian distribution to construct fitness functions in genetic programming for multiclass object classification

2Mining Predicate Association Rule by Gene Expression Programming

1Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees

3A Study of Good Predecessor Programs for Reducing Fitness Evaluation Cost in Genetic Programming

1Genetic programming-based Alife techniques for evolving collective robotic intelligence

2New Fitness Functions in Genetic Programming for Object Detection

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