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Aggregation of graph models and markov chains by deterministic annealing
Yunwen Xu
,
Srinivasa M. Salapaka
,
Carolyn L. Beck
Mechanical Science and Engineering
Industrial and Enterprise Systems Engineering
Coordinated Science Lab
Information Trust Institute
Electrical and Computer Engineering
Center for South Asian and Middle Eastern Studies
Research output
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peer-review
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Dive into the research topics of 'Aggregation of graph models and markov chains by deterministic annealing'. Together they form a unique fingerprint.
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Keyphrases
Markov Chain
100%
Graph Model
100%
Deterministic Annealing
100%
Model Chain
100%
High-order
33%
Clustering Methods
33%
Lower Order
33%
Dissimilarity Measure
33%
Solution Method
33%
Directed Graph
33%
Local Minima
33%
Tractability
33%
Resource Allocation Problem
33%
State Transition Matrix
33%
Graph Aggregation
33%
Computational Scheme
33%
Weighted Directed Graph
33%
Computer Science
Deterministic Annealing
100%
Markov Chain
100%
Directed Graphs
66%
Clustering Method
33%
Initial Condition
33%
Local Minimum
33%
Solution Method
33%
Allocation Problem
33%
State Transition
33%
Computational Scheme
33%
Transition Matrix
33%
Resource Allocation
33%