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Game theory for data science :elicit...
~
Faltings, Boi,
Game theory for data science :eliciting truthful information /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Game theory for data science :Boi Faltings, Goran Radanovic.
其他題名:
eliciting truthful information /
作者:
Faltings, Boi,
其他作者:
Radanovic, Goran,
面頁冊數:
1 online resource (153 p.)
標題:
Game theory.
電子資源:
https://portal.igpublish.com/iglibrary/search/MCPB0006370.html
ISBN:
9781627056083
Game theory for data science :eliciting truthful information /
Faltings, Boi,
Game theory for data science :
eliciting truthful information /Boi Faltings, Goran Radanovic. - 1st ed. - 1 online resource (153 p.) - Synthesis lectures on artificial intelligence and machine learning ;35.. - Synthesis lectures on artificial intelligence and machine learning ;#23..
Includes bibliographical references and index.
Game theory for data science : eliciting truthful information -- Abstract; Keywords -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- Chapter 2 Mechanisms for Verifiable Information -- Chapter 3 Parametric Mechanisms for Unverifiable Information -- Chapter 4 Nonparametric Mechanisms: Multiple Reports -- Chapter 5 Nonparametric Mechanisms: Multiple Tasks -- Chapter 6 Prediction Markets: Combining Elicitation and Aggregation -- Chapter 7 Agents Motivated by Influence -- Chapter 8 Decentralized Machine Learning -- Chapter 9 Conclusions -- Bibliography -- Authors' Biographies.
Mode of access: World Wide Web.
ISBN: 9781627056083
Nat. Bib. No.: nmm a2200265 i 4500
Nat. Bib. Agency Control No.: nam a2200277 a 4500Subjects--Topical Terms:
182956
Game theory.
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA269
Dewey Class. No.: 519.3
Game theory for data science :eliciting truthful information /
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Game theory for data science : eliciting truthful information -- Abstract; Keywords -- Contents -- Preface -- Acknowledgments -- Chapter 1 Introduction -- Chapter 2 Mechanisms for Verifiable Information -- Chapter 3 Parametric Mechanisms for Unverifiable Information -- Chapter 4 Nonparametric Mechanisms: Multiple Reports -- Chapter 5 Nonparametric Mechanisms: Multiple Tasks -- Chapter 6 Prediction Markets: Combining Elicitation and Aggregation -- Chapter 7 Agents Motivated by Influence -- Chapter 8 Decentralized Machine Learning -- Chapter 9 Conclusions -- Bibliography -- Authors' Biographies.
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https://portal.igpublish.com/iglibrary/search/MCPB0006370.html
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