國立高雄大學圖資館 |

Language: English

Back

Game theory for data science :elicit...

Faltings, Boi,

Game theory for data science :eliciting truthful information /

Record Type:	Electronic resources : 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 ;#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 /
LDR:01651nmm a2200289 a 4500 001 580103
006 m eo d
008 201229s2017 cau ob 001 0 eng d
015 7 9 $a nmm a2200265 i 4500
016 1 5 $a nam a2200277 a 4500
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 869708
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 182956
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Radanovic, Goran, $e author. $3 869709
830 0 $a Synthesis lectures on artificial intelligence and machine learning ; $v #23. $3 670682
856 4 0 $u https://portal.igpublish.com/iglibrary/search/MCPB0006370.html