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Game theory for data science : eliciting truthful information
- 作者： Faltings, Boi, author.
- 其他作者：
- 其他題名：
- Synthesis lectures on artificial intelligence and machine learning ;
- 出版： [San Rafael, California] : Morgan & Claypool Publishers
- 版本：1st ed.
- 叢書名： Synthesis lectures on artificial intelligence and machine learning ;35.
- 主題： Game theory. , Electronic books.
- ISBN： 9781627056083 、 9781627057295
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FIND@SFXID:
CGU
- 資料類型: 電子書
- 內容註: 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.
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讀者標籤：
- 系統號： 005483216 | 機讀編目格式
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