{"title":"隐马尔可夫模型与皮特曼-约尔先验用于概率主题模型","authors":"Jianjie Guo, Lin Guo, Wenchao Xu, Haibin Zhang","doi":"10.1080/03610926.2024.2370920","DOIUrl":null,"url":null,"abstract":"Empirical studies of natural language have demonstrated that word frequencies follow power law distributions. However, standard statistical models often fail to capture this property. The Pitman-Yo...","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hidden Markov model with Pitman-Yor priors for probabilistic topic model\",\"authors\":\"Jianjie Guo, Lin Guo, Wenchao Xu, Haibin Zhang\",\"doi\":\"10.1080/03610926.2024.2370920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Empirical studies of natural language have demonstrated that word frequencies follow power law distributions. However, standard statistical models often fail to capture this property. The Pitman-Yo...\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610926.2024.2370920\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610926.2024.2370920","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hidden Markov model with Pitman-Yor priors for probabilistic topic model
Empirical studies of natural language have demonstrated that word frequencies follow power law distributions. However, standard statistical models often fail to capture this property. The Pitman-Yo...
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