tag :: Learning, networks,

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Publikationen (verstecken)26
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1Performance of Hasty and Consistent Multi Spectral Iris Segmentation using Deep Learning
R. Sharma. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (5): 11-15 (Oktober 2023)
vor 10 Monaten von @ijtsrd
alle anzeigen
DeepLearning
Iris,
Learning,
Multi
Spectral
VGG16
networks,
neural
DeepLearningIris,Learning,MultiSpectralVGG16networks,neural
(0)
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1Multi Paths Technique On Convolutional Neural Network For Lung Cancer Detection Based On Histopathological Images
A. Saif (Hrsg.) International Journal of Advanced Networking and Applications, 12 (02): 4549-4554 (Oktober 2020)
vor 4 Jahren von @editor.ijana
alle anzeigen
Cancer
Convolutional
Deep
Detection,
Learning
Learning,
Lung
Networks,
Neural
Transfer
myown
CancerConvolutionalDeepDetection,LearningLearning,LungNetworks,NeuralTransfermyown
(0)
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1The Role of Local Connections in Competitive Neural Networks: Collective Learning and Representation of Geometry
{. Szepesvári. Attila József University of Szeged, Szeged, Hungary, (1993)in Hungarian.
vor 5 Jahren von @csaba
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learning,
manifold
networks,
neural
theory
learning,manifoldnetworks,neuraltheory
(0)
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1Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
H. Maei, {. Szepesvári, S. Bhatnagar, D. Silver, D. Precup, und R. Sutton. NIPS, Seite 1204--1212. (2009)
vor 5 Jahren von @csaba
alle anzeigen
GTD
algorithm,
approximation,
function
gradient
learning,
networks,
neural
nonlinear
online
prediction,
reinforcement
stochastic
theory,
GTDalgorithm,approximation,functiongradientlearning,networks,neuralnonlinearonlineprediction,reinforcementstochastictheory,
(0)
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1A STRUCTURED DEEP NEURAL NETWORK FOR DATA-DRIVEN LOCALIZATION IN HIGH FREQUENCY WIRELESS NETWORKS
M. Marcus Z. Comiter, und and H. T. Kung. International Journal of Computer Networks & Communications (IJCNC), 9 (3): 21-39 (Mai 2017)
vor 8 Jahren von @laimbee
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5G,
802.11ad,
Deep
Localization,
Machine
Millimeter
Mobile
Networks
Neural
learning,
networks,
wave,
5G,802.11ad,DeepLocalization,MachineMillimeterMobileNetworksNeurallearning,networks,wave,
(0)
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3Sum-product networks: A new deep architecture
H. Poon, und P. Domingos. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Seite 689--690. (November 2011)
vor 8 Jahren von @yourwelcome
alle anzeigen
Backpropagation,
Computational
Computer
Decision
Graphical
Junctions,
acyclic
architecture,
directed
edges
function,
graph,
graphical
graphs,
hidden
inference,
internal
learning,
leaves,
model
modeling,
models,
networks,
nodes,
partition
rooted
sum-product
trees,
variables,
weighted
Backpropagation,ComputationalComputerDecisionGraphicalJunctions,acyclicarchitecture,directededgesfunction,graph,graphicalgraphs,hiddeninference,internallearning,leaves,modelmodeling,models,networks,nodes,partitionrootedsum-producttrees,variables,weighted
(0)
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1Machine learning methods without tears: a primer for ecologists.
J. Olden, J. Lawler, und N. Poff. The Quarterly Review of biology, 83 (2): 171--193 (2008)
vor 8 Jahren von @yourwelcome
alle anzeigen
Animals,
Artificial
Decision
Ecosystem,
Fishes:
Genetic,
Intelligence,
Learning,
Machine
Software,
Species
Specificity,
Trees,
\&
algorithms,
biology,
classification,
computational
data
ecology,
fish,
freshwater,
networks,
neural
numerical
statistics
Animals,ArtificialDecisionEcosystem,Fishes:Genetic,Intelligence,Learning,MachineSoftware,SpeciesSpecificity,Trees,\&algorithms,biology,classification,computationaldataecology,fish,freshwater,networks,neuralnumericalstatistics
(0)
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4Statistical modeling: the two cultures
L. Breiman. Statistical Science, 16 (3): 199--215 (2001)ArticleType: research-article / Full publication date: Aug., 2001 / Copyright © 2001 Institute of Mathematical Statistics.
vor 8 Jahren von @yourwelcome
alle anzeigen
Learning,
Machine
algorithms,
modelling,
networks,
neural
prediction
Learning,Machinealgorithms,modelling,networks,neuralprediction
(0)
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2SysBioMed report: Advancing systems biology for medical applications
O. Wolkenhauer, D. Fell, P. Meyts, N. Bluthgen, H. Herzel, N. Novere, T. Hofer, K. Schurrle, und I. van Leeuwen. IET Systems Biology, 3 (3): 131--136 (Mai 2009)
vor 14 Jahren von @ra1602
alle anzeigen
Briefing,
Policy
Rostock
SBI
Science
bioinformatics,
biology,
cellular
clinical
complex
diseases,
dynamical
encoding,
gene,
information,
learning,
machine
macroscale
medical
modelling,
molecular
networks,
nonlinear
pattern
phenomena,
property,
recognition,
report
spatio-temporal
statistical
subcellular
systems
theory,
{SysBioMed}
Briefing,PolicyRostockSBISciencebioinformatics,biology,cellularclinicalcomplexdiseases,dynamicalencoding,gene,information,learning,machinemacroscalemedicalmodelling,molecularnetworks,nonlinearpatternphenomena,property,recognition,reportspatio-temporalstatisticalsubcellularsystemstheory,{SysBioMed}
(0)
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2Reverse-engineering transcription control networks
T. Gardner, und J. Faith. Physics of Life Reviews, 2 (1): 65 - 88 (2005)
vor 15 Jahren von @cchen63
alle anzeigen
Gene
Machine
Reverse-engineering,
Transcription
control,
learning,
networks,
regulation
GeneMachineReverse-engineering,Transcriptioncontrol,learning,networks,regulation
(0)
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2Applying two-level simulated annealing on Bayesian structure learning to infer genetic networks
T. Wang, J. Touchman, und G. Xue. Seite 647-648. (August 2004)
vor 15 Jahren von @mozaher
alle anzeigen
(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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3Semantic Hierarchies for Visual Object Recognition
M. Marszalek, und C. Schmid. Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on, (Juni 2007)
vor 15 Jahren von @mozaher
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accuracy,
appearance
detection,
hierarchies,
image
inference
labels
learning,
lexical
mechanisms,
networks,
networksclassification
object
recognition
recognition,
semantic
semantics,
tools,
visual
accuracy,appearancedetection,hierarchies,imageinferencelabelslearning,lexicalmechanisms,networks,networksclassificationobjectrecognitionrecognition,semanticsemantics,tools,visual
(0)
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14Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, und P. Haffner. Proceedings of the IEEE, 86 (11): 2278--2324 (1998)
vor 15 Jahren von @mozaher
alle anzeigen
2D
GTN,
back-propagation,
backpropagation,
based
character
cheque
complex
convolution,
convolutional
decision
digit
document
extraction,
field
gradient
gradient-based
graph
handwritten
high-dimensional
language
learning
learning,
measure
minimization,
modeling,
multilayer
multimodule
network
networks,
neural
optical
patterns,
perceptrons,
performance
reading,
recognition
recognition,
recognizers,
segmentation
shape
surface
synthesis,
systems,
task,
technique,
transformer
variability,
2DGTN,back-propagation,backpropagation,basedcharacterchequecomplexconvolution,convolutionaldecisiondigitdocumentextraction,fieldgradientgradient-basedgraphhandwrittenhigh-dimensionallanguagelearninglearning,measureminimization,modeling,multilayermultimodulenetworknetworks,neuralopticalpatterns,perceptrons,performancereading,recognitionrecognition,recognizers,segmentationshapesurfacesynthesis,systems,task,technique,transformervariability,
(0)
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1Fuzzy and Recurrent Network Motion Control among Dynamic Obstacles for Robot Manipulators
J. Mbede, W. Wei, und Q. Zhang. Journal of Intelligent and Robotic Systems, (2001)
vor 16 Jahren von @butz
alle anzeigen
Lyapunov
avoidance,
controller,
dynamic
fuzzy
learning,
manipulators
networks,
neural
obstacle
on-line
recurrent
robot
stability,
Lyapunovavoidance,controller,dynamicfuzzylearning,manipulatorsnetworks,neuralobstacleon-linerecurrentrobotstability,
(0)
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1A Self-organizing context-based approach to the tracking of Multiple Robot trajectories
A. Araujo, und G. de A. Barreto. Applied Intelligence, (2002)
vor 16 Jahren von @butz
alle anzeigen
context
hebbian
learning,
networks,
neural
robotics,
temporal
tracking,
trajectory
unsupervised
contexthebbianlearning,networks,neuralrobotics,temporaltracking,trajectoryunsupervised
(0)
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2A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming
M. Zhang, V. Ciesielski, und P. Andreae. EURASIP Journal on Applied Signal Processing, 2003 (8): 841--859 (Juli 2003)Special Issue on Genetic and Evolutionary Computation for Signal Processing and Image Analysis.
vor 17 Jahren von @brazovayeye
alle anzeigen
algorithms,
computer
detection,
genetic
learning,
machine
networks,
neural
object
programming,
recognition,
target
vision
algorithms,computerdetection,geneticlearning,machinenetworks,neuralobjectprogramming,recognition,targetvision
(0)
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2Genetic Programming for Multiple Class Object Detection
M. Zhang, und V. Ciesielski. 12th Australian Joint Conference on Artificial Intelligence, Volume 1747 von LNAI, Seite 180--192. Sydney, Australia, Springer-Verlag, (6-10 December 1999)
vor 17 Jahren von @brazovayeye
alle anzeigen
Machine
Neural
Vision
algorithms,
genetic
learning,
networks,
programming,
MachineNeuralVisionalgorithms,geneticlearning,networks,programming,
(0)
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1Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods
N. Nikolaev, und H. Iba. Genetic and Evolutionary Computation Springer, (2006)June.
vor 17 Jahren von @brazovayeye
alle anzeigen
Bayesian
adaptive
algorithms,
artificial
backpropagation,
computation,
evolutionary
genetic
inference,
intelligence,
learning,
networks,
polynomial
prediction
programming,
time-series
Bayesianadaptivealgorithms,artificialbackpropagation,computation,evolutionarygeneticinference,intelligence,learning,networks,polynomialpredictionprogramming,time-series
(0)
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2Medical Data Mining Using Evolutionary Computation
P. Ngan, M. Wong, W. Lam, K. Leung, und J. Cheng. Artificial Intelligent in Medicine, 16 (1): 73--96 (1999)Special Issue On Data Mining Techniques and Applications in Medicine.
vor 17 Jahren von @brazovayeye
alle anzeigen
Based
Bayesian
Computation,
Data
Evolutionary
Genetic
Grammar
Learning,
Mining,
Networks,
Programming,
Rule
algorithms,
computer
genetic
information
language
processing,
programming,
BasedBayesianComputation,DataEvolutionaryGeneticGrammarLearning,Mining,Networks,Programming,Rulealgorithms,computergeneticinformationlanguageprocessing,programming,
(0)
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1Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning
R. McKay, und H. Abbass. The Australian Journal of Intelligent Information Processing Systems, 7 (3/4): 139--149 (2001)
vor 17 Jahren von @brazovayeye
alle anzeigen
Anticorrelation,
Artificial
Ensemble
Networks,
Neural
algorithms,
committee
diversity
fitness
genetic
learning,
programming,
sharing,
Anticorrelation,ArtificialEnsembleNetworks,Neuralalgorithms,committeediversityfitnessgeneticlearning,programming,sharing,
(0)
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Publikationen (verstecken)26
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1Performance of Hasty and Consistent Multi Spectral Iris Segmentation using Deep Learning

1Multi Paths Technique On Convolutional Neural Network For Lung Cancer Detection Based On Histopathological Images

1The Role of Local Connections in Competitive Neural Networks: Collective Learning and Representation of Geometry

1Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation

1A STRUCTURED DEEP NEURAL NETWORK FOR DATA-DRIVEN LOCALIZATION IN HIGH FREQUENCY WIRELESS NETWORKS

3Sum-product networks: A new deep architecture

1Machine learning methods without tears: a primer for ecologists.

4Statistical modeling: the two cultures

2SysBioMed report: Advancing systems biology for medical applications

2Reverse-engineering transcription control networks

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

3Semantic Hierarchies for Visual Object Recognition

14Gradient-based learning applied to document recognition

1Fuzzy and Recurrent Network Motion Control among Dynamic Obstacles for Robot Manipulators

1A Self-organizing context-based approach to the tracking of Multiple Robot trajectories

2A Domain-independent Window approach to Multiclass Object Detection using Genetic Programming

2Genetic Programming for Multiple Class Object Detection

1Adaptive Learning of Polynomial Networks Genetic Programming, Backpropagation and Bayesian Methods

2Medical Data Mining Using Evolutionary Computation

1Anti-correlation: A Diversity Promoting Mechanisms in Ensemble Learning

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