Suchergebnisse - "Variational expectation-maximization algorithm"

Variational inference for estimating dynamic stochastic block models through an evolutionary algorithm

Autoren: Brusa, Luca Pennoni, Fulvia Brusa, L et al.

Weitere Verfasser: Brusa, Luca Pennoni, Fulvia Brusa, L et al.

Schlagwörter: Genetic algorithm, Local maxima, Longitudinal network, Node classification, Variational expectation-maximization algorithm, Settore STAT-01/A - Statistica

Dateibeschreibung: STAMPA

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001493346100001; volume:19; issue:2; firstpage:469; lastpage:492; numberofpages:24; journal:ADVANCES IN DATA ANALYSIS AND CLASSIFICATION; https://hdl.handle.net/10281/554402

Verfügbarkeit: https://hdl.handle.net/10281/554402
https://doi.org/10.1007/s11634-025-00634-9
https://link.springer.com/article/10.1007/s11634-025-00634-9

Anomaly detection for fabricated artifact by using unstructured 3D point cloud data

Autoren: Chengyu Tao Juan Du Tzyy-Shuh Chang

Quelle: IISE Transactions. 55:1174-1186

Schlagwörter: Unstructured 3D point cloud data, 0209 industrial biotechnology, Bayesian network, 0202 electrical engineering, electronic engineering, information engineering, Anomaly detection, 02 engineering and technology, Variational expectation-maximization algorithm

Maximum likelihood for discrete latent variable models via evolutionary algorithms

Autoren: Brusa, L Pennoni, F Bartolucci, F

Schlagwörter: Expectation–maximization algorithm, Local maxima, Maximum-likelihood estimation, Variational expectation–maximization algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/article/10.1007/s11222-023-10358-5#article-info
https://hdl.handle.net/10281/455819

Improving clustering in temporal networks through an evolutionary algorithm

Autoren: Brusa, L Pennoni, F

Schlagwörter: local maxima, longitudinal networks, node classification, stochastic blockmodel, variational expectation-maximization algorithm

Dateibeschreibung: application/pdf

Zugangs-URL: https://www.statlab-unisa.it/cladag2023/book-of-abstracts/
https://hdl.handle.net/10281/474679

R code implemented for the paper: Brusa, L.; Pennoni, F.; Bartolucci, F. (2024). Maximum likelihood for discrete latent variable models via evolutionary algorithms. Statistics and Computing, 34, 1-15.

Autoren: Brusa, L Pennoni, F Bartolucci, F

Weitere Verfasser: Brusa, L Pennoni, F Bartolucci, F

Schlagwörter: Evolutionary algorithm, Expectation–maximization algorithm, Global maximum, Hidden markov model, latent class model, Local maxima, Maximum-likelihood estimation, Stochastic block model, Tempering, Variational expectation–maximization algorithm

Relation: https://hdl.handle.net/10281/455854; https://github.com/LB1304/estDLVM

Verfügbarkeit: https://hdl.handle.net/10281/455854
https://github.com/LB1304/estDLVM

Anomaly detection for fabricated artifact by using unstructured 3D point cloud data

Autoren: Tao, Chengyu Du, Juan Chang, Tzyy-Shuh

Index Begriffe: Anomaly detection, Bayesian network, Unstructured 3D point cloud data, Variational expectation-maximization algorithm, Article

URL: http://repository.hkust.edu.hk/ir/Record/1783.1-124832
https://doi.org/10.1080/24725854.2022.2152140
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=2472-5854&rft.volume=&rft.issue=&rft.date=2022&rft.spage=&rft.aulast=Tao&rft.aufirst=&rft.atitle=Anomaly+detection+for+fabricated+artifact+by+using+unstructured+3D+point+cloud+data&rft.title=IISE+Transactions
http://www.scopus.com/record/display.url?eid=2-s2.0-85146764175&origin=inward
http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=LinksAMR&SrcApp=PARTNER_APP&DestLinkType=FullRecord&DestApp=WOS&KeyUT=000917581600001

Improving clustering in temporal networks through an evolutionary algorithm

Autoren: Coretto, P Giordano, G La Rocca, M et al.

Index Begriffe: local maxima, longitudinal networks, node classification, stochastic blockmodel, variational expectation-maximization algorithm, Settore STAT-01/A - Statistica, info:eu-repo/semantics/bookPart

URL: https://hdl.handle.net/10281/474679
https://www.statlab-unisa.it/cladag2023/book-of-abstracts/
info:eu-repo/semantics/altIdentifier/isbn/9788891935632
ispartofbook:Book of Abstracts and Short Papers, 14th Scientic Meeting of the Classication and Data Analysis Group, Salerno, September 11-13, 2023
firstpage:370
lastpage:373
numberofpages:4
alleditors:Coretto, P; Giordano, G; La Rocca, M; Parrella, ML; Rampichini, C