Skip to main navigation
Skip to search
Skip to main content
VTT's Research Information Portal Home
Home
Profiles
Research output
Projects
Datasets
Research units
Research Infrastructures
Activities
Prizes
Press/Media
Impacts
Search by expertise, name or affiliation
On model selection for dense stochastic block models
Ilkka Norros
*
,
Hannu Reittu
, Fülöp Bazsó
*
Corresponding author for this work
BA6209 Quantum algorithms and software
University of Helsinki
Hungarian Academy of Sciences
Research output
:
Contribution to journal
›
Article
›
Scientific
›
peer-review
1
Citation (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'On model selection for dense stochastic block models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Minimum Description Length Principle
100%
Stochastic Block Model
100%
Model Selection
100%
Model Specification
50%
Block Size
50%
Poisson
50%
Dense Graphs
50%
Number of Blocks
50%
Edge Weight
50%
Edge Placement
50%
INIS
stochastic processes
100%
partition
100%
length
66%
balances
33%
size
33%
weight
33%
gain
33%
asymptotic solutions
33%
yields
33%
specifications
33%
graphs
33%
Mathematics
Model Block
100%
Model Selection
100%
Edge
100%
Stochastics
100%
Asymptotics
50%
Model Specification
50%