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Measures of Complexity

Festschrift for Alexey Chervonenkis

Measures of Complexity by Vladimir Vovk
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This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (Vapnik–Chervonenkis) guarantees tighter, and new technical contributions in the areas of machine learning, statistical inference, classification, algorithmic statistics, and pattern recognition.

The contributors are leading scientists in domains such as statistics, mathematics, and theoretical computer science, and the book will be of interest to researchers and graduate students in these domains.

Springer International Publishing; September 2015
413 pages; ISBN 9783319218526
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Title: Measures of Complexity
Author: Vladimir Vovk; Harris Papadopoulos; Alexander Gammerman
 
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