{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:12:23Z","timestamp":1740100343612,"version":"3.37.3"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003246","name":"Netherlands Organisation for Scientific Research (NWO)","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"DOI":"10.1109\/mlsp52302.2021.9596329","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T22:53:58Z","timestamp":1637016838000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Message Passing-Based Inference in the Gamma Mixture Model"],"prefix":"10.1109","author":[{"given":"Albert","family":"Podusenko","sequence":"first","affiliation":[]},{"given":"Bart","family":"van Erp","sequence":"additional","affiliation":[]},{"given":"Dmitry","family":"Bagaev","sequence":"additional","affiliation":[]},{"given":"Ismail","family":"Senoz","sequence":"additional","affiliation":[]},{"given":"Bert","family":"de Vries","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2007.4557602"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139344203"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/18.910572"},{"key":"ref13","article-title":"Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach","author":"pearl","year":"1982","journal-title":"Proceedings of the Second AAAI Conference on Artificial Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2005.1523402"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1006\/jmaa.1996.0385"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"journal-title":"Monte Carlo Theory Methods and Examples","year":"2013","author":"owen","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1137\/141000671"},{"key":"ref19","article-title":"Bayesian Inference for Two-Parameter Gamma Distribution Assuming Different Noninformative Priors","author":"moala","year":"2013","journal-title":"Rev Colombiana Estadística"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1198\/106186001317115054"},{"key":"ref3","article-title":"Online learning of finite and infinite gamma mixture models for COVID-19 detection in medical images","author":"sallay","year":"2021","journal-title":"Computers"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2004.1267047"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/18.910573"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2007.896497"},{"journal-title":"A Factor Graph Approach to Signal Modelling System Identification and Filtering","year":"2005","author":"korl","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.10.025"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2010.938081"},{"key":"ref9","article-title":"Variational message passing","author":"winn","year":"2005","journal-title":"Journal of Machine Learning Research"},{"key":"ref20","article-title":"Graphical Models, Exponential Families, and Variational Inference","author":"wainwright","year":"2008","journal-title":"Foundations and Trends\ufffd in Machine Learning"},{"key":"ref22","article-title":"Visualizing Data using t-SNE","author":"van der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref21"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2018.11.002"}],"event":{"name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2021,10,25]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2021,10,28]]}},"container-title":["2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9596063\/9596068\/09596329.pdf?arnumber=9596329","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T16:50:46Z","timestamp":1652201446000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9596329\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/mlsp52302.2021.9596329","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}