{"title":"如何应对嘈杂的共识?","authors":"V. Solo, M. J. Piggott","doi":"10.1109/ICASSP.2016.7472596","DOIUrl":null,"url":null,"abstract":"There is an achilles heel underlying the consensus literature. It has been known for some time that measurement noise causes the explosive growth of the consensus mode. Here we state the noise problem; characterise the behaviour of the noisy consensus system including its drift to ∞ critique the existing remedies and develop a new remedy.","PeriodicalId":165321,"journal":{"name":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"What to do about noisy consensus?\",\"authors\":\"V. Solo, M. J. Piggott\",\"doi\":\"10.1109/ICASSP.2016.7472596\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is an achilles heel underlying the consensus literature. It has been known for some time that measurement noise causes the explosive growth of the consensus mode. Here we state the noise problem; characterise the behaviour of the noisy consensus system including its drift to ∞ critique the existing remedies and develop a new remedy.\",\"PeriodicalId\":165321,\"journal\":{\"name\":\"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.2016.7472596\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2016.7472596","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
There is an achilles heel underlying the consensus literature. It has been known for some time that measurement noise causes the explosive growth of the consensus mode. Here we state the noise problem; characterise the behaviour of the noisy consensus system including its drift to ∞ critique the existing remedies and develop a new remedy.