tag :: Method, genetic

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2Applying two-level simulated annealing on Bayesian structure learning to infer genetic networks
T. Wang, J. Touchman, и G. Xue. стр. 647-648. (августа 2004)
15 лет назад , @mozaher
(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
(0)
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1GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures
L. Virirakis. IEEE Transactions on Evolutionary Computation, 7 (5): 456--481 (октября 2003)
17 лет назад , @brazovayeye
CAD,
G-CAD,
GENETICA,
GP,
abstractions,
algorithms,
architectural
artificial
computation,
computer
data
design,
domain
environment
environments,
evolutionary
evolving
experimental
expression,
formal
general
generation
genetic
genotypes,
high
intelligence,
language,
languages,
level
logic,
method,
optimization,
problem
problem-solving
problem-solving,
programming
programming,
results,
scenarios,
solving,
specific
structure,
structures,
CAD,G-CAD,GENETICA,GP,abstractions,algorithms,architecturalartificialcomputation,computerdatadesign,domainenvironmentenvironments,evolutionaryevolvingexperimentalexpression,formalgeneralgenerationgeneticgenotypes,highintelligence,language,languages,levellogic,method,optimization,problemproblem-solvingproblem-solving,programmingprogramming,results,scenarios,solving,specificstructure,structures,
(0)
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1Evaporation Estimation using Gene Expression Programming
O. Terzi, и M. Keskin. Journal of Applied Sciences, 5 (3): 508--512 (2005)
17 лет назад , @brazovayeye
Egirdir
Lake
Method,
Penmann
algorithms,
expression
gene
genetic
programming,
EgirdirLakeMethod,Penmannalgorithms,expressiongenegeneticprogramming,
(0)
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1Fingerprint classification based on learned features
X. Tan, B. Bhanu, и Y. Lin. IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews, 35 (3): 287--300 (Aug)
17 лет назад , @brazovayeye
(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
(0)
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1The invention of CMOS amplifiers using genetic programming and current-flow analysis
T. Sripramong, и C. Toumazou. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 21 (11): 1237--1252 (ноября 2002)
17 лет назад , @brazovayeye
CAD,
CMOS
ICs,
algorithms,
amplifiers,
analog
analogue
analysis
analysis,
automated
circuit
circuits,
computing,
current-flow
design
design,
differential
environment,
genetic
integrated
method,
operational
optimisation
optimisation,
programming,
rules
system,
topology-independent
CAD,CMOSICs,algorithms,amplifiers,analoganalogueanalysisanalysis,automatedcircuitcircuits,computing,current-flowdesigndesign,differentialenvironment,geneticintegratedmethod,operationaloptimisationoptimisation,programming,rulessystem,topology-independent
(0)
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1Study of crosslinking efficiency of cotton cellulose by different physical-chemical methods and genetic programming
O. Sauperl, и M. Brezocnik. Materials research innovations, 10 (1): 45--62 (марта 2006)
17 лет назад , @brazovayeye
FT-IR
algorithms,
blue
capacity,
cellulose,
cotton
crosslinking,
genetic
method,
methylene
programming,
retention
spectroscopy,
tensiometry,
water
FT-IRalgorithms,bluecapacity,cellulose,cottoncrosslinking,geneticmethod,methyleneprogramming,retentionspectroscopy,tensiometry,water
(0)
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2Self-improvement For The ADATE Automatic Programming System
R. Olsson, и B. Wilcox. GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, стр. 893. New York, Morgan Kaufmann Publishers, (9-13 July 2002)
17 лет назад , @brazovayeye
ADATE
algorithms,
automatic
evolution,
genetic
method,
mutation
neutral
paper,
poster
programming,
self-improvement,
ADATEalgorithms,automaticevolution,geneticmethod,mutationneutralpaper,posterprogramming,self-improvement,
(0)
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1Polynomial genetic programming for response surface modeling Part 1: a methodology
Y. Yeun, Y. Yang, W. Ruy, и B. Kim. Structural and Multidisciplinary Optimization, 29 (1): 19--34 (января 2005)
17 лет назад , @brazovayeye
algorithms,
data-set
derivative-based
directional
extended
genetic
high-order
interpolation,
method,
overfitting,response
polynomial,
programming,
smoothing,
surface
algorithms,data-setderivative-baseddirectionalextendedgenetichigh-orderinterpolation,method,overfitting,responsepolynomial,programming,smoothing,surface
(0)
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1Reconstruction of polynomial systems from noisy time-series measurements using genetic programming
V. Varadan, и H. Leung. IEEE Transactions on Industrial Electronics, 48 (4): 742--748 (августа 2001)
17 лет назад , @brazovayeye
Euclidean
accurate
addition,
algorithms,
delay,
dimension,
distance,
embedding
estimate,
functional
genetic
improved
least-squares
measurements,
method,
multiplication,
noise,
noisy
operators,
orthogonal
parameter
polynomial
polynomials,
programming,
reconstruction,
signal
structure
systems
time
time-series
unknown
Euclideanaccurateaddition,algorithms,delay,dimension,distance,embeddingestimate,functionalgeneticimprovedleast-squaresmeasurements,method,multiplication,noise,noisyoperators,orthogonalparameterpolynomialpolynomials,programming,reconstruction,signalstructuresystemstimetime-seriesunknown
(0)
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1Evolutionary synthesis of digital filter structures using genetic programming
K. Uesaka, и M. Kawamata. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 50 (12): 977--983 (декабря 2003)
17 лет назад , @brazovayeye
IIR
S-expressions,
algorithms,
automatically
computability,
defined
difference
digital
effects,
equations,
errors,
evolutionary
filter
filter,
filters,
fitness
fourth-order
function
functions,
genetic
global
infinite-impulse
low-coefficient
low-output
matrices,
matrix
measure,
method,
noise,
optimization,
programming,
representation,
response
roundoff
sensitivity,
structures,
subroutines,
synthesis
transfer
wordlength
IIRS-expressions,algorithms,automaticallycomputability,defineddifferencedigitaleffects,equations,errors,evolutionaryfilterfilter,filters,fitnessfourth-orderfunctionfunctions,geneticglobalinfinite-impulselow-coefficientlow-outputmatrices,matrixmeasure,method,noise,optimization,programming,representation,responseroundoffsensitivity,structures,subroutines,synthesistransferwordlength
(0)
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1Synthesis of low-sensitivity second-order digital filters using genetic programming with automatically defined functions
K. Uesaka, и M. Kawamata. IEEE Signal Processing Letters, 7 (4): 83--85 (апреля 2000)
17 лет назад , @brazovayeye
ADF
IIR
S-expressions,
algorithms,
automatically
coefficient
defined
digital
filter
filter,
filters,
fitness
functions,
genetic
low
magnitude
measure,
method,
programming,
second-order
sensitivity
sensitivity,
synthesis
ADFIIRS-expressions,algorithms,automaticallycoefficientdefineddigitalfilterfilter,filters,fitnessfunctions,geneticlowmagnitudemeasure,method,programming,second-ordersensitivitysensitivity,synthesis
(0)
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1Optimal control for linear singular system using genetic programming
A. Kumar, и P. Balasubramaniam. Applied Mathematics and Computation, 192 (1): 78--89 (1 September 2007)Article in Press.
17 лет назад , @brazovayeye
Grammatical
Linear
Matrix
Optimal
Riccati
RungeKutta
algorithms,
control,
differential
equation,
evolution
genetic
method,
programming,
singular
system,
GrammaticalLinearMatrixOptimalRiccatiRungeKuttaalgorithms,control,differentialequation,evolutiongeneticmethod,programming,singularsystem,
(0)
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1Adaptation technique for integrating genetic programming and reinforcement learning for real robots
S. Kamio, и H. Iba. IEEE Transactions on Evolutionary Computation, 9 (3): 318--333 (июня 2005)
17 лет назад , @brazovayeye
(RL)
(artificial
AIBO
Adaptation
HOAP-1
Q-learning
adaptation
adaptive
algorithms,
box
box-moving
computation,
evolutionary
four-legged
genetic
humanoid
intelligence),
learning
learning,
legged
locomotion,
method,
moving,
programming,
real
reinforcement
robot,
robots,
systems,
task,
technique,
(RL)(artificialAIBOAdaptationHOAP-1Q-learningadaptationadaptivealgorithms,boxbox-movingcomputation,evolutionaryfour-leggedgenetichumanoidintelligence),learninglearning,leggedlocomotion,method,moving,programming,realreinforcementrobot,robots,systems,task,technique,
(0)
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1Recombination Guidance for Numerical Genetic Programming
H. Iba, T. Sato, и H. de Garis. 1995 IEEE Conference on Evolutionary Computation, 1, стр. 97--102. Perth, Australia, IEEE Press, (29 November - 1 December 1995)
17 лет назад , @brazovayeye
STROGANOFF,
adaptive
algorithm-based
algorithms,
analysis
analysis,
chaotic
computer
estimation,
fitting,
function
genetic
identification
mechanism,
method,
multiple
nonlinear
numerical
prediction,
problems
problems,
program
program,
programming,
recombination
recombination,
regression
representation,
search
series
series,
statistical
strategy,
structured
system
time
vision,
STROGANOFF,adaptivealgorithm-basedalgorithms,analysisanalysis,chaoticcomputerestimation,fitting,functiongeneticidentificationmechanism,method,multiplenonlinearnumericalprediction,problemsproblems,programprogram,programming,recombinationrecombination,regressionrepresentation,searchseriesseries,statisticalstrategy,structuredsystemtimevision,
(0)
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1Initialization method for grammar-guided genetic programming
M. Garcia-Arnau, D. Manrique, J. Rios, и A. Rodriguez-Paton. Knowledge-Based Systems, 20 (2): 127--133 (марта 2007)AI 2006, The 26th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence.
17 лет назад , @brazovayeye
Breast
GGGP
Grammar-guided
Initialisation
Tree-generation
algorithm,
algorithms,
cancer
genetic
method,
prognosis,
programming,
BreastGGGPGrammar-guidedInitialisationTree-generationalgorithm,algorithms,cancergeneticmethod,prognosis,programming,
(0)
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1Evolutionary Development of Hierarchical Learning Structures
S. Elfwing, E. Uchibe, K. Doya, и H. Christensen. IEEE Transactions on Evolutionary Computation, 11 (2): 249--264 (апреля 2007)
17 лет назад , @brazovayeye
(artificial
Lamarckian
MAXQ
RL
algorithms,
decomposition
development,
evolutionary
foraging
genetic
hierarchical
intelligence),
learning
learning,
method,
programming,
reinforcement
structures,
task
task,
(artificialLamarckianMAXQRLalgorithms,decompositiondevelopment,evolutionaryforaginggenetichierarchicalintelligence),learninglearning,method,programming,reinforcementstructures,tasktask,
(0)
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1A validation of the component-based method for software size estimation
J. Dolado. IEEE Transactions on Software Engineering, 26 (10): 1006--1021 (октября 2000)
17 лет назад , @brazovayeye
II
Mark
algorithms,
code,
component-based
estimation,
fourth-generation
function
genetic
language,
lines
management,
method,
networks,
neural
of
planning,
points,
prediction,
programming,
reusability,
size
software
work
IIMarkalgorithms,code,component-basedestimation,fourth-generationfunctiongeneticlanguage,linesmanagement,method,networks,neuralofplanning,points,prediction,programming,reusability,sizesoftwarework
(0)
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5Clustering by Compression
R. Cilibrasi, и P. Vitanyi. IEEE Transactions on Information Theory, 51 (4): 1523--1545 (апреля 2005)
17 лет назад , @brazovayeye
Kolmogorov
algorithms,
analysis,
clustering,
complearn,
complexity
compression
data
data-mining,
dissimilarity
distance,
genetic
heterogenous
hierarchical
method,
normalised
parameter-free
programming,
quartet
tree
universal
unsupervised
Kolmogorovalgorithms,analysis,clustering,complearn,complexitycompressiondatadata-mining,dissimilaritydistance,geneticheterogenoushierarchicalmethod,normalisedparameter-freeprogramming,quartettreeuniversalunsupervised
(0)
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2Applying two-level simulated annealing on Bayesian structure learning to infer genetic networks

1GENETICA: A Computer Language That Supports General Formal Expression With Evolving Data Structures

1Evaporation Estimation using Gene Expression Programming

1Fingerprint classification based on learned features

1The invention of CMOS amplifiers using genetic programming and current-flow analysis

1Study of crosslinking efficiency of cotton cellulose by different physical-chemical methods and genetic programming

2Self-improvement For The ADATE Automatic Programming System

1Polynomial genetic programming for response surface modeling Part 1: a methodology

1Reconstruction of polynomial systems from noisy time-series measurements using genetic programming

1Evolutionary synthesis of digital filter structures using genetic programming

1Synthesis of low-sensitivity second-order digital filters using genetic programming with automatically defined functions

1Optimal control for linear singular system using genetic programming

1Adaptation technique for integrating genetic programming and reinforcement learning for real robots

1Recombination Guidance for Numerical Genetic Programming

1Initialization method for grammar-guided genetic programming

1Evolutionary Development of Hierarchical Learning Structures

1A validation of the component-based method for software size estimation

5Clustering by Compression

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