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Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs

contributor authorSussman, Daniel L.
contributor authorMinh Tang
contributor authorPriebe, Carey E.
date accessioned2020-03-12T18:25:32Z
date available2020-03-12T18:25:32Z
date issued2014
identifier issn0162-8828
identifier other6565321.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/958055?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleConsistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs
typeJournal Paper
contenttypeMetadata Only
identifier padid7990455
subject keywordsBayes methods
subject keywordsgraph theory
subject keywordslearning (artificial intelligence)
subject keywordsmatrix algebra
subject keywordspattern classification
subject keywordsWikipedia
subject keywordsadjacency matrix eigendecomposition
subject keywordsconsistent latent position estimation
subject keywordsk-nearest-neighbors classification rule
subject keywordsrandom dot product graphs
subject keywordsvertex classification
subject keywordsEncyclopedias
subject keywordsEstimation
subject keywordsInternet
subject keywordsPattern recognition
subject keywordsRandom variables
subject keywordsStochastic processes
subject keywordsVectors
subject keywords$(k)$-nearest-neighbor
subject keywordsRandom graph
subject keywordslatent space model
subject keywordsuniversal consistency
identifier doi10.1109/TPAMI.2013.135
journal titlePattern Analysis and Machine Intelligence, IEEE Transactions on
journal volume36
journal issue1
filesize749570
citations0


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