{"title":"基于神经网络的贝叶斯非参数","authors":"Herbert K. H. Lee","doi":"10.1137/1.9780898718423","DOIUrl":null,"url":null,"abstract":"Preface 1. Introduction 2. Nonparametric models 3. Priors for neural networks 4. Building a model 5. Conclusions Appendix A Glossary Bibliography Index.","PeriodicalId":118426,"journal":{"name":"ASA-SIAM series on statistics and applied probability","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"Bayesian nonparametrics via neural networks\",\"authors\":\"Herbert K. H. Lee\",\"doi\":\"10.1137/1.9780898718423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Preface 1. Introduction 2. Nonparametric models 3. Priors for neural networks 4. Building a model 5. Conclusions Appendix A Glossary Bibliography Index.\",\"PeriodicalId\":118426,\"journal\":{\"name\":\"ASA-SIAM series on statistics and applied probability\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASA-SIAM series on statistics and applied probability\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/1.9780898718423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASA-SIAM series on statistics and applied probability","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/1.9780898718423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Preface 1. Introduction 2. Nonparametric models 3. Priors for neural networks 4. Building a model 5. Conclusions Appendix A Glossary Bibliography Index.
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