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Game theory for data science : = eli...

Radanovic, Goran,

Game theory for data science : = eliciting truthful information /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Game theory for data science :/ Boi Faltings, Goran Radanovic.
Reminder of title:	eliciting truthful information /
Author:	Faltings, Boi,
other author:	Radanovic, Goran,
Description:	1 online resource (153 p.)
Subject:	Game theory. -
Online resource:	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 ;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:

556918
Game theory.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA269

Dewey Class. No.: 519.3

Game theory for data science : = eliciting truthful information /
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008 201225s2017 cau ob 001 0 eng d
020 $a 9781627056083
020 $a 9781627057295
035 $a MCPB0006370
040 $a iG Publishing $b eng $c iG Publishing $e rda
050 0 0 $a QA269
082 0 0 $a 519.3
100 1 $a Faltings, Boi, $e author. $3 1292081
245 1 0 $a Game theory for data science : $b eliciting truthful information / $c Boi Faltings, Goran Radanovic.
250 $a 1st ed.
264 1 $a [San Rafael, California] : $b Morgan & Claypool Publishers, $c 2017.
300 $a 1 online resource (153 p.)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Synthesis lectures on artificial intelligence and machine learning ; $v 35.
504 $a Includes bibliographical references and index.
505 0 $a 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.
538 $a Mode of access: World Wide Web.
650 0 $a Game theory. $3 556918
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Radanovic, Goran, $e author. $3 1292082
830 0 $a Synthesis lectures on artificial intelligence and machine learning ; $v 29 $3 1136768
856 4 0 $u https://portal.igpublish.com/iglibrary/search/MCPB0006370.html

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