tag :: learning, learning system,

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1ADDRESSING IMBALANCED CLASSES PROBLEM OF INTRUSION DETECTION SYSTEM USING WEIGHTED EXTREME LEARNING MACHINE
M. Awad, and A. Alabdallah. International Journal of Computer Networks & Communications (IJCNC), 11 (5): 39-58 (September 2019)
5 years ago by @laimbee
show all tags
Accuracy,
Extreme
ISCX2012.
Intrusion
Learning
Learning,
Machine
Machine,
UNB
Weighted
detection
system,
Accuracy,ExtremeISCX2012.IntrusionLearningLearning,MachineMachine,UNBWeighteddetectionsystem,
(0)
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1Measuring perceived sociability of computer-supported collaborative learning environments
K. Kreijns, P. Kirschner, W. Jochems, and H. van Buuren. Computers & Education, 49 (2): 176--192 (September 2007)
12 years ago by @psilabx
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Architectures
Computer-mediated
Cooperative/collaborative
Distributed
communication,
educational
environments
for
learning
learning,
system,
technology
ArchitecturesComputer-mediatedCooperative/collaborativeDistributedcommunication,educationalenvironmentsforlearninglearning,system,technology
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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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3Applying Vector Space Models to Ontology Link Type Suggestion
A. Weichselbraun, G. Wohlgenannt, A. Scharl, M. Granitzer, T. Neidhart, and A. Juffinger. Proc. 4th International Conference on Innovations in Information Technology Innovations '07, page 566--570. (2007)
16 years ago by @mgrani
show all tags
(artificial
Web,
analysis,
based
batch
conference
cosine
design
intelligence),
knowledge
learning
learning,
link
metric,
models
myown
nonhierarchical
online
ontologies
ontology
process,
relations,
semantic
similarity
space
statistical
suggestion,
system,
systems,
type
vector
(artificialWeb,analysis,basedbatchconferencecosinedesignintelligence),knowledgelearninglearning,linkmetric,modelsmyownnonhierarchicalonlineontologiesontologyprocess,relations,semanticsimilarityspacestatisticalsuggestion,system,systems,typevector
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1GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference
A. Barry (Eds.) Chigaco, AAAI, (11 July 2003)
17 years ago by @brazovayeye
show all tags
agents,
algorithm,
algorithms,
annealing,
case-based
classifier
co-evolution,
computation,
design
evolution
evolution,
evolutionary
fuzzy
genetic
grammatical
implementation,
learning
learning,
machine
model,
multi-objective
optimization,
parallel
planning,
prediction,
programming,
reasoning,
representations
scheduling,
series
simulated
strategies,
system,
time
agents,algorithm,algorithms,annealing,case-basedclassifierco-evolution,computation,designevolutionevolution,evolutionaryfuzzygeneticgrammaticalimplementation,learninglearning,machinemodel,multi-objectiveoptimization,parallelplanning,prediction,programming,reasoning,representationsscheduling,seriessimulatedstrategies,system,time
(0)
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1GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference
A. Barry (Eds.) New York, AAAI, (8 July 2002)
17 years ago by @brazovayeye
show all tags
agents,
algorithm,
algorithms,
annealing,
applications,
case-based
classifier
co-evolution,
computation,
design
evolution
evolution,
evolutionary
fuzzy
genetic
grammatical
implementation,
industrial
learning
learning,
linkage
machine
model,
multi-objective
niching,
optimization,
parallel
planning,
prediction,
programming,
reasoning,
scheduling,
series
simulated
strategies,
system,
time
agents,algorithm,algorithms,annealing,applications,case-basedclassifierco-evolution,computation,designevolutionevolution,evolutionaryfuzzygeneticgrammaticalimplementation,industriallearninglearning,linkagemachinemodel,multi-objectiveniching,optimization,parallelplanning,prediction,programming,reasoning,scheduling,seriessimulatedstrategies,system,time
(0)
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2Grammars for Learning Control Knowledge with GP
R. Aler, D. Borrajo, and P. Isasi. Proceedings of the 2001 Congress on Evolutionary Computation CEC2001, page 1220--1227. COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, IEEE Press, (27-30 May 2001)
17 years ago by @brazovayeye
show all tags
(artificial
AI
Control
EVOCK,
Evolution
GP
GP,
Knowledge,
PRODIGY,
ad-hoc
algorithms,
approach
based
blocksworld
computational
control
domain,
flexibility,
genetic
grammar
grammars,
intelligence),
knowledge
language
language,
learning
learning,
linguistics,
mechanisms,
of
planning
problems,
programming,
restrictions,
rule
rules,
search
select
space,
specific,
standard
syntax,
system,
type
(artificialAIControlEVOCK,EvolutionGPGP,Knowledge,PRODIGY,ad-hocalgorithms,approachbasedblocksworldcomputationalcontroldomain,flexibility,geneticgrammargrammars,intelligence),knowledgelanguagelanguage,learninglearning,linguistics,mechanisms,ofplanningproblems,programming,restrictions,rulerules,searchselectspace,specific,standardsyntax,system,type
(0)
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1ADDRESSING IMBALANCED CLASSES PROBLEM OF INTRUSION DETECTION SYSTEM USING WEIGHTED EXTREME LEARNING MACHINE

1Measuring perceived sociability of computer-supported collaborative learning environments

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

3Applying Vector Space Models to Ontology Link Type Suggestion

1GECCO 2003: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference

1GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference

2Grammars for Learning Control Knowledge with GP

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