tag :: Genetic learning

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1Jenetics: Java Genetic Algorithm Library
Jenetics is an advanced Genetic Algorithm, respectively an Evolutionary Algorithm, library written in modern day Java.
10 years ago by @bsc
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algorithm
evolutionary
genetic
learning
machine
optimization
programming
algorithmevolutionarygeneticlearningmachineoptimizationprogramming
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2Encog Machine Learning Framework | Heaton Research
http://www.heatonresearch.com/encog
11 years ago by @nosebrain
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.net
Encog
artificial
bayesian
c
c++
framework
genetic
hidden
java
learning
machine
machines
markov
models
networks
neural
programming
support
vector
.netEncogartificialbayesiancc++frameworkgenetichiddenjavalearningmachinemachinesmarkovmodelsnetworksneuralprogrammingsupportvector
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1USING LEARNING AUTOMATA AND GENETIC ALGORITHMS TO IMPROVE THE QUALITY OF SERVICES IN MULTICAST ROUTING PROBLEM
M. Nejad. International Journal of Computer Science, Engineering and Applications (IJCSEA), 2 (5): 10 (October 2012)
6 years ago by @ijcsea
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Automata
Generation
Genetic
Learning
Multicaset
Networks
Next
Quality
Routing
Service
of
AutomataGenerationGeneticLearningMulticasetNetworksNextQualityRoutingServiceof
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1Decision-making with Technology
S. Mukherjee. (2019)
6 years ago by @sourav_tech
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AI
ANN
GIS
Genetic
Network
Neural
algorithm
decision-making
learning
machine
AIANNGISGeneticNetworkNeuralalgorithmdecision-makinglearningmachine
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1Brain damage in preterm infants: etiological pathways.
C. Arpino, L. D'Argenzio, C. Ticconi, A. Paolo, V. Stellin, L. Lopez, and P. Curatolo. Ann Ist Super Sanita, 41 (2): 229--237 (2005)
10 years ago by @ar0berts
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Adult;
Birth
Injuries;
Brain
Damage,
Chronic;
Cerebral
P;
Chorioamnionitis;
Cytokines;
Developmental
Disabilities;
Epilepsy;
Female;
Fetal
Diseases;
Hypoxia;
Genetic
Predisposition
to
Disease;
Humans;
Hypoxia-Ischemia,
Brain;
Infant,
Low
Weight;
Newborn;
Premature;
Inflammation
Mediators;
Learning
Disorders;
Male;
Mental
Retardation;
Models,
Neurological;
Pregnancy;
Pregnancy
Complications;
Prenatal
Exposure
Delayed
Effects;
Risk
Factors;
alsy
Adult;BirthInjuries;BrainDamage,Chronic;CerebralP;Chorioamnionitis;Cytokines;DevelopmentalDisabilities;Epilepsy;Female;FetalDiseases;Hypoxia;GeneticPredispositiontoDisease;Humans;Hypoxia-Ischemia,Brain;Infant,LowWeight;Newborn;Premature;InflammationMediators;LearningDisorders;Male;MentalRetardation;Models,Neurological;Pregnancy;PregnancyComplications;PrenatalExposureDelayedEffects;RiskFactors;alsy
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2Solution Concepts in Coevolutionary Algorithms
S. Ficici. Computer Science Department, Brandeis University, USA, (May 2004)
13 years ago by @kmukhar
show all tags
Algorithms
Coevolutionary
Evolutionary
Game
Learning
Machine
Theory
ToReview
algorithms
genetic
AlgorithmsCoevolutionaryEvolutionaryGameLearningMachineTheoryToReviewalgorithmsgenetic
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1A method to design a neural pattern recognition system by using a genetic algorithm with partial fitness and a deterministic mutation
M. Fukumi, and N. Akamatsu. Systems, Man, and Cybernetics, 1996. IEEE International Conference on, 3, page 1989--1993. IEEE Computer Society, (1996)
14 years ago by @cocus
show all tags
(artificial
Fourier
algorithm,
algorithms,
coin
convergence,
deterministic
features
fitness,
genetic
intelligence),
invariant
learning
learning,
multilayer
multilayered
mutation,
network
network,
neural
partial
pattern
perceptrons,
problem,
recognition
recognitionFourier
rotated
rotation
spectra,
system,
transform,
transforms,
(artificialFourieralgorithm,algorithms,coinconvergence,deterministicfeaturesfitness,geneticintelligence),invariantlearninglearning,multilayermultilayeredmutation,networknetwork,neuralpartialpatternperceptrons,problem,recognitionrecognitionFourierrotatedrotationspectra,system,transform,transforms,
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2Designing a neural network by a genetic algorithm with partial fitness
M. Fukumi, S. Omatu, and Y. Nishikawa. Proceedings of the IEEE International joint Conference on Neural Networks 1995, IJCNN'95, 4, page 1834--1838. IEEE Computer Society, (November 1995)
14 years ago by @cocus
show all tags
(artificial
Fourier
algorithm,
algorithms,
chromosome,
coin
convergence
convergence,
crossover
feedforward
fitness,
genetic
intelligence),
learning
learning,
methods,
nets,
network,
neural
numerical
object
of
operation
operation,
partial
recognition
recognitionFourier
selection
spectra,
system,
transform
transform,
(artificialFourieralgorithm,algorithms,chromosome,coinconvergenceconvergence,crossoverfeedforwardfitness,geneticintelligence),learninglearning,methods,nets,network,neuralnumericalobjectofoperationoperation,partialrecognitionrecognitionFourierselectionspectra,system,transformtransform,
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2Applying two-level simulated annealing on Bayesian structure learning to infer genetic networks
T. Wang, J. Touchman, and G. Xue. page 647-648. (August 2004)
15 years ago by @mozaher
show all tags
(artificial
Bayesian
Carlo
K2
Monte
algorithm,
annealing
belief
biology
computing,
genetic
genetics,
global
inference
inference,
intelligence),
learning
learning,
local
mechanisms,
method,
methods,
model,
network
networks,
optimized
optimizer,
probability
probability,
problem,
problems,
search
simulated
strengthened
structure
two-level
(artificialBayesianCarloK2Montealgorithm,annealingbeliefbiologycomputing,geneticgenetics,globalinferenceinference,intelligence),learninglearning,localmechanisms,method,methods,model,networknetworks,optimizedoptimizer,probabilityprobability,problem,problems,searchsimulatedstrengthenedstructuretwo-level
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1Self-Adaptation in Classifier System Controllers
J. Hurst, and L. Bull. Artificial Life and Robotics, (2001)
16 years ago by @butz
show all tags
-
Genetic
Nonstationary
Reinforcement
Robotics
ZCS
algorithm
domains
learning
-GeneticNonstationaryReinforcementRoboticsZCSalgorithmdomainslearning
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1An Online News Agent
H. Sorensen, and M. McElligott. BCS Intelligent Agents Workshop, British Computer Society, Britain, (1995)
16 years ago by @n.nanas
show all tags
Connectionism,
Learning
agents,
algorithms.
filtering,
genetic
information
intelligent
interface
Connectionism,Learningagents,algorithms.filtering,geneticinformationintelligentinterface
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3Coordinating perceptually grounded categories through language: A case study for colour
L. Steels, and T. Belpaeme. Behavioral and Brain Sciences, 28 (04): 469-489 (2005)
16 years ago by @yish
show all tags
AI
agents
autonomous
categorisation
colour
connectionism
cultural
dynamics
evolution
genetic
grounding
language
learning
memes
naming
of
origins
self-organisation
semiotic
symbol
AIagentsautonomouscategorisationcolourconnectionismculturaldynamicsevolutiongeneticgroundinglanguagelearningmemesnamingoforiginsself-organisationsemioticsymbol
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1Feature extraction using multi-objective genetic programming
Y. Zhang, and P. Rockett. Multi-Objective Machine Learning, volume 16 of Studies in Computational Intelligence, chapter 4, Springer, Invited chapter.(2006)
17 years ago by @brazovayeye
show all tags
Evolutionary
Learning
Machine
Multi-objective
Optimisation,
algorithms,
genetic
programming,
EvolutionaryLearningMachineMulti-objectiveOptimisation,algorithms,geneticprogramming,
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1Proceedings of the 2000 Congress on Evolutionary Computation CEC00
?. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
17 years ago by @brazovayeye
show all tags
agents,
algorithms,
and
applications,
biological
breast
cancer,
classifiers,
coevolution,
constraint
control
control,
controlling
cultural
design
design,
developement
devices
dynamic
ec
ec,
ecological
ecosystems,
engineering
evolutionary
evolvable
evolving
fitness,
fossil
foundations,
game
games
genetic
handling,
hardware,
hybrid
image
image/
information
intelligent
learning
like
local
markets,
medical
modeling
modeling/
modelling
modelling,
multi-agent
multi-objective
network
networks,
neural
new
novel
operations
optimization,
paradigms,
parallel
processing
processing,
programming,
record,
representations,
research
revisiting
robotic
scheduling,
search
search,
series
signal
spaces,
stroganoff,
system
systems
systems,
tasks,
techniques,
the
themes,
theory
time
agents,algorithms,andapplications,biologicalbreastcancer,classifiers,coevolution,constraintcontrolcontrol,controllingculturaldesigndesign,developementdevicesdynamicecec,ecologicalecosystems,engineeringevolutionaryevolvableevolvingfitness,fossilfoundations,gamegamesgenetichandling,hardware,hybridimageimage/informationintelligentlearninglikelocalmarkets,medicalmodelingmodeling/modellingmodelling,multi-agentmulti-objectivenetworknetworks,neuralnewnoveloperationsoptimization,paradigms,parallelprocessingprocessing,programming,record,representations,researchrevisitingroboticscheduling,searchsearch,seriessignalspaces,stroganoff,systemsystemssystems,tasks,techniques,thethemes,theorytime
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2Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous Predators-prey Pursuit Problem
I. Tanev, and K. Shimohara. Proceedings of the 7th European Conference on Artificial Life (ECAL 2003), (2003)
17 years ago by @brazovayeye
show all tags
algorithms,
emergence,
genetic
learning
multi-agent
programming,
systems,
algorithms,emergence,geneticlearningmulti-agentprogramming,systems,
(0)
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1Fingerprint classification based on learned features
X. Tan, B. Bhanu, and Y. Lin. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 35 (3): 287--300 (Aug)
17 years ago by @brazovayeye
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(artificial
Bayes
Bayesian
NIST-4
algorithm,
algorithms,
classification
classification,
classifier,
composite
database,
databases
discovery,
extraction,
feature
feature-learning
fingerprint
genetic
identification,
image
intelligence),
learning
method,
methods,
operations
operator
primitive
processing
programming,
visual
(artificialBayesBayesianNIST-4algorithm,algorithms,classificationclassification,classifier,compositedatabase,databasesdiscovery,extraction,featurefeature-learningfingerprintgeneticidentification,imageintelligence),learningmethod,methods,operationsoperatorprimitiveprocessingprogramming,visual
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2Genetic Programming with a Genetic Algorithm for Feature Construction and Selection
M. Smith, and L. Bull. Genetic Programming and Evolvable Machines, 6 (3): 265--281 (September 2005)Published online: 17 August 2005.
17 years ago by @brazovayeye
show all tags
algorithms,
classification,
construction,
feature
genetic
learning
machine
programming,
selection,
algorithms,classification,construction,featuregeneticlearningmachineprogramming,selection,
(0)
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2Regularization Approach to Inductive Genetic Programming
N. Nikolaev, and H. Iba. IEEE Transactions on Evolutionary Computing, 54 (4): 359--375 (August 2001)
17 years ago by @brazovayeye
show all tags
(artificial
Kolmogorov-Gabor
STROGANOFF,local
algorithms,
bias,
data
genetic
inductive
intelligence),
learning
mining,
multivariate
nodes,
polynomials,
prediction,
programming,
regularization,
search
searching,
series
statistical
structures,
time
tree
(artificialKolmogorov-GaborSTROGANOFF,localalgorithms,bias,datageneticinductiveintelligence),learningmining,multivariatenodes,polynomials,prediction,programming,regularization,searchsearching,seriesstatisticalstructures,timetree
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1Neural network and genetic programming for modelling coastal algal blooms
N. Muttil, and K. Chau. International Journal of Environment and Pollution, 28 (3/4): 223--238 (6 November 2006)
17 years ago by @brazovayeye
show all tags
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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2Genetic programming for simultaneous feature selection and classifier design
D. Muni, N. Pal, and J. Das. IEEE Transactions on Systems, Man and Cybernetics, Part B, 36 (1): 106--117 (February 2006)
17 years ago by @brazovayeye
show all tags
(artificial
Classification,
algorithm,
algorithms,
c-class
classification,
classifier
classifier,
design
evolutionary
extraction,
feature
genetic
intelligence),
learning
online
pattern
problem,
programming,
ranking
scheme,
selection
(artificialClassification,algorithm,algorithms,c-classclassification,classifierclassifier,designevolutionaryextraction,featuregeneticintelligence),learningonlinepatternproblem,programming,rankingscheme,selection
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2Learning to Control the Program Evolution Process with Cultural Algorithms
E. Zannoni, and R. Reynolds. Evolutionary Computation, 5 (2): 181--211 (summer 1997)
17 years ago by @brazovayeye
show all tags
algorithms,
concept
concepts,
cultural
design
genetic
learning
machine
methodologies,
metrics,
of
programming,
reuse
software
algorithms,conceptconcepts,culturaldesigngeneticlearningmachinemethodologies,metrics,ofprogramming,reusesoftware
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1Discovering Knowledge from Noisy Databases using Genetic Programming
M. Wong, K. Leung, and K. Cheng. Journal of the American Society for Information Science, (2000)
17 years ago by @brazovayeye
show all tags
Computation,
Data
Evolutionary
Learning
Rule
algorithms,
genetic
mining,
programming,
Computation,DataEvolutionaryLearningRulealgorithms,geneticmining,programming,
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1Jenetics: Java Genetic Algorithm Library

2Encog Machine Learning Framework | Heaton Research

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1USING LEARNING AUTOMATA AND GENETIC ALGORITHMS TO IMPROVE THE QUALITY OF SERVICES IN MULTICAST ROUTING PROBLEM

1Decision-making with Technology

1Brain damage in preterm infants: etiological pathways.

2Solution Concepts in Coevolutionary Algorithms

1A method to design a neural pattern recognition system by using a genetic algorithm with partial fitness and a deterministic mutation

2Designing a neural network by a genetic algorithm with partial fitness

2Applying two-level simulated annealing on Bayesian structure learning to infer genetic networks

1Self-Adaptation in Classifier System Controllers

1An Online News Agent

3Coordinating perceptually grounded categories through language: A case study for colour

1Feature extraction using multi-objective genetic programming

1Proceedings of the 2000 Congress on Evolutionary Computation CEC00

2Effects of Learning to Interact on the Evolution of Social Behavior of Agents in Continuous Predators-prey Pursuit Problem

1Fingerprint classification based on learned features

2Genetic Programming with a Genetic Algorithm for Feature Construction and Selection

2Regularization Approach to Inductive Genetic Programming

1Neural network and genetic programming for modelling coastal algal blooms

2Genetic programming for simultaneous feature selection and classifier design

2Learning to Control the Program Evolution Process with Cultural Algorithms

1Discovering Knowledge from Noisy Databases using Genetic Programming

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