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Measures of Complexity: Festschrift for Alexey Chervonenkis

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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.

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Publisher

Cham : Springer Cham., 2015

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Language

English

ISBN/ISSN

978-3-319-21852-6

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NONE

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Statement of Responsibility

Vladimir Vovk, Harris Papadopoulos, Alexander Gammerman

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Cataloger

Kholif Basri

Source

https://link.springer.com/book/10.1007/978-3-319-21852-6

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