Description
Conformal and Probabilistic Prediction with Applications, 1st ed. 2016
5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings
Lecture Notes in Artificial Intelligence Series
Coordinators: Gammerman Alexander, Luo Zhiyuan, Vega Jesús, Vovk Vladimir
Language: English
Subjects for Conformal and Probabilistic Prediction with Applications:
Keywords
big data applications; data mining; machine learning; pattern recognition; universal prediction; active learning; algorithmic information theory; classification; confidence measures; geodesic distance; hidden markov models; inference methods; knowledge representation; malware; measures of confidence; prediction systems; sequential pattern mining; similarity control; support vector machines; visualization
Support: Print on demand
Description
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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.
Theory of conformal prediction.- Applications of conformal prediction.- Machine learning.
Includes supplementary material: sn.pub/extras
