tag :: graphs, Networks,

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3Sum-product networks: A new deep architecture
H. Poon, and P. Domingos. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), page 689--690. (November 2011)
8 years ago by @yourwelcome
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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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1Multifractal network generator
G. Palla, L. Lovász, and T. Vicsek. Proceedings of the National Academy of Sciences, 107 (17): 7640--7645 (April 2010)
8 years ago by @yourwelcome
show all tags
Graphs,
Latent
\_tablet\_modified,
entropy,
matrices,
networks,
physics
social
space,
sparse
statistical
Graphs,Latent\_tablet\_modified,entropy,matrices,networks,physicssocialspace,sparsestatistical
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1On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs
Y. Weiss, and W. Freeman. IEEE Trans. on Information Theory, 47 (2): 736--744 (2001)
11 years ago by @guillem.palou
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(mathematics),
MRF,
Markov
algorithm,
arbitrary
assignment,
belief
belief-propagation
codes,
codesBayesian
continuous-valued
convergence
convergence,
cycle
decoding,
dependencies,
discrete-valued
distribution,
equivalent
fields,
fixed
graph
graph,
graphical
graphs,
local-message-passing
max-product
methods,
min-sum
models,
networks,
nodes,
numerical
of
optimality,
optimisation,
performance,
point,Markov
posterior
probability
probability,
processes
processes,
random
single-loop
solutions
statistical
topology,
tree
trees
turbo
unique
(mathematics),MRF,Markovalgorithm,arbitraryassignment,beliefbelief-propagationcodes,codesBayesiancontinuous-valuedconvergenceconvergence,cycledecoding,dependencies,discrete-valueddistribution,equivalentfields,fixedgraphgraph,graphicalgraphs,local-message-passingmax-productmethods,min-summodels,networks,nodes,numericalofoptimality,optimisation,performance,point,Markovposteriorprobabilityprobability,processesprocesses,randomsingle-loopsolutionsstatisticaltopology,treetreesturbounique
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1Statistical ensemble of scale-free random graphs
Z. Burda, J. Correia, and A. Krzywicki. (September 2001͒)
15 years ago by @dhruvbansal
show all tags
field_theory,
fractal_dimension,
graph_algorithms,
graphs,
networks,
scale_free,
statistical_mechanics
twopoint,
field_theory,fractal_dimension,graph_algorithms,graphs,networks,scale_free,statistical_mechanicstwopoint,
(0)
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2Shortcomings with using edge encodings to represent graph structures
G. Hornby. Genetic Programming and Evolvable Machines, 7 (3): 231--252 (October 2006)
17 years ago by @brazovayeye
show all tags
ANN
CEEL,
Circuits,
Graphs,
Neural
PEEL,
Representations,
algorithms,
genetic
networks,
programming,
ANNCEEL,Circuits,Graphs,NeuralPEEL,Representations,algorithms,geneticnetworks,programming,
(0)
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2Shortcomings with Tree-Structured Edge Encodings for Neural Networks
G. Hornby. Genetic and Evolutionary Computation -- GECCO-2004, Part II, volume 3103 of Lecture Notes in Computer Science, page 495--506. Seattle, WA, USA, Springer-Verlag, (26-30 June 2004)
17 years ago by @brazovayeye
show all tags
algorithms,
genetic
graphs,
networks,
neural
programming,
representation
algorithms,geneticgraphs,networks,neuralprogramming,representation
(0)
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1NodeTrix: a Hybrid Visualization of Social Networks
N. Henry, and J. Fekete. IEEE Transactions on Visualization and Computer Graphics, 13 (6): 1302--1309 (2007)Student Member-Michael J. McGuffin.
17 years ago by @mardoe
show all tags
WP2,
D2.2,
Graphs,
Networks,
Communities,
Visualization
WP2,D2.2,Graphs,Networks,Communities,Visualization
(0)
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1Exploring the computing literature using temporal graph visualization
C. Erten, P. Harding, S. Kobourov, K. Wampler, and G. Yee. (2003)
17 years ago by @mardoe
show all tags
WP2,
D2.2,
Graphs,
Networks,
Temporal,
Visualization
WP2,D2.2,Graphs,Networks,Temporal,Visualization
(0)
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1Visual analysis of network centralities
T. Dwyer, S. Hong, D. Koschützki, F. Schreiber, and K. Xu. APVIS '06: Proceedings of the Asia Pacific symposium on Information visualisation, page 189--197. Darlinghurst, Australia, Australia, Australian Computer Society, Inc., (2006)
17 years ago by @mardoe
show all tags
WP2,
D2.2,
Graphs,
Social
Networks,
Centralities,
Visualization
WP2,D2.2,Graphs,SocialNetworks,Centralities,Visualization
(0)
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3SoftGUESS: Visualization and Exploration of Code Clones in Context
E. Adar, and M. Kim. ICSE '07: Proceedings of the 29th International Conference on Software Engineering, page 762--766. Washington, DC, USA, IEEE Computer Society, (2007)
17 years ago by @mardoe
show all tags
WP2,
D2.2,
Graphs,
Networks,
Visualization
WP2,D2.2,Graphs,Networks,Visualization
(0)
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5GUESS: a language and interface for graph exploration
E. Adar. CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, page 791--800. New York, NY, USA, ACM, (2006)
17 years ago by @mardoe
show all tags
WP2,
D2.2,
Graphs,
Networks,
Visualization
WP2,D2.2,Graphs,Networks,Visualization
(0)
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3Sum-product networks: A new deep architecture

1Multifractal network generator

1On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs

1Statistical ensemble of scale-free random graphs

2Shortcomings with using edge encodings to represent graph structures

2Shortcomings with Tree-Structured Edge Encodings for Neural Networks

1NodeTrix: a Hybrid Visualization of Social Networks

1Exploring the computing literature using temporal graph visualization

1Visual analysis of network centralities

3SoftGUESS: Visualization and Exploration of Code Clones in Context

5GUESS: a language and interface for graph exploration

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