Game theory for data science: Eliciting truthful information
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Material type: BookPublisher: Austin Morgan & Claypool Publishers 2017Description: xv, 135p.ISBN: 978-1-627-05729-5.DDC classification: 519.3 FALItem type | Current location | Call number | Status | Date due | Barcode |
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Books | 519.3 FAL (Browse shelf) | Checked out | 06/30/2018 | 512915 |
Browsing International Institute of Information Technology Bangalore Shelves Close shelf browser
519.3 CES Prediction, Learning, and Games | 519.3 CON On numbers and games | 519.3 CRE Evolutionary dynamics and extensive form games | 519.3 FAL Game theory for data science: Eliciting truthful information | 519.3 FUD Game theory | 519.3 FUD The theory of learning in games | 519.3 GIN The bounds of reason: Game theory and the unification of the behavioral sciences |
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