game theory data science von faltings boi (15 Ergebnisse)

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Zustand: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!

Zustand: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!

Paperback. Zustand: new. Paperback. Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards.We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading. Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Zustand: New. In English.

Zustand: New. 1st edition NO-PA16APR2015-KAP.

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Paperback. Zustand: new. Paperback. Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards.We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading. Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Zustand: Brand New. 151 pages. 9.25x7.50x0.43 inches. In Stock.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2021-03-01 Publisher: Machinery Industry Press This book introduces different scenarios and assumptions. including perception. manual calculation. peer rating. review. and prediction.?The book summarizes different incentive mechanisms. including appropriate scoring rules. market forecasts and peer forecasts. Bayesian testers. peer testers. related agreements. and some settings that make them applicable.?As an alternative. a reputation mechanism is also co.

paperback. Zustand: New. Language:Chinese.Paperback. Pub Date: 2020-11-01 Publisher: World Book Publishing Company's intelligent system usually relies on data provided by information agents. such as sensor data or crowdsourced calculations.?Because it is expensive to provide accurate and relevant data. the agent may not always be willing to provide accurate data.?Therefore. it is not only necessary to verify the correctness of the data. but also to provide an incentive mechanism to give more rewards to agents who pro.

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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it be.