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Conformal and Probabilistic Prediction with Applications [electronic resource] : 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings / edited by Alexander Gammerman, Zhiyuan Luo, Jes�us Vega, Vladimir Vovk.

Contributor(s): Gammerman, Alexander [editor.] | Luo, Zhiyuan [editor.] | Vega, Jes�us [editor.] | Vovk, Vladimir [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 9653Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XII, 229 p. 45 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319333953.Subject(s): Computer science | Computers | Algorithms | Database management | Data mining | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Data Mining and Knowledge Discovery | Database Management | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
Theory of conformal prediction -- Applications of conformal prediction -- Machine learning.
In: Springer eBooksSummary: This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held in Madrid, Spain, in April 2016. The 14 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 23 submissions and cover topics on theory of conformal prediction; applications of conformal prediction; and machine learning.
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Theory of conformal prediction -- Applications of conformal prediction -- Machine learning.

This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held in Madrid, Spain, in April 2016. The 14 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 23 submissions and cover topics on theory of conformal prediction; applications of conformal prediction; and machine learning.

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