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Game theory for data science :elicit...
~
Faltings, Boi,
Game theory for data science :eliciting truthful information /
Record Type:
Electronic resources : Monograph/item
[NT 15000414]:
519.3
Title/Author:
Game theory for data science : : eliciting truthful information // Boi Faltings, Goran Radanovic.
Author:
Faltings, Boi,
other author:
Radanovic, Goran,
Description:
1 online resource (153 p.)
Subject:
Game theory.
ISBN:
9781627056083
ISBN:
9781627057295
[NT 15000227]:
Includes bibliographical references and index.
[NT 15000228]:
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.
Online resource:
https://portal.igpublish.com/iglibrary/search/MCPB0006370.html
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 ;29.
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: 9781627056083Subjects--Topical Terms:
217795
Game theory.
Index Terms--Genre/Form:
336502
Electronic books.
LC Class. No.: QA269
Dewey Class. No.: 519.3
Game theory for data science :eliciting truthful information /
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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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