Game Theory for Data Science: Eliciting Truthful Information-Reference-Cited by-同舟云学术

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Game Theory for Data Science: Eliciting Truthful Information

Published:2017-09-19 Issue:2 Volume:11 Page:1-151
ISSN:1939-4608
Container-title:Synthesis Lectures on Artificial Intelligence and Machine Learning
language:en
Short-container-title:Synthesis Lectures on Artificial Intelligence and Machine Learning

Author:

Faltings Boi¹,Radanovic Goran²

Affiliation:

1. École Polytechnique Fédérale de Lausanne (EPFL)

2. Harvard University

Publisher

Morgan & Claypool Publishers LLC

Subject

Artificial Intelligence

Reference78 articles.

1. Can online reviews reveal a product's true quality?

2. MIS Quarterly

3. Maximum Likelihood Estimation of Observer Error-Rates Using the EM Algorithm

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment;Journal of Data and Information Quality;2023-06-22

2. A technical survey on statistical modelling and design methods for crowdsourcing quality control;Artificial Intelligence;2020-10

3. Obtaining costly unverifiable valuations from a single agent;Autonomous Agents and Multi-Agent Systems;2020-06-19

4. Peer Prediction with Heterogeneous Users;ACM Transactions on Economics and Computation;2020-04-21

5. Budget-Bounded Incentives for Federated Learning;Lecture Notes in Computer Science;2020

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