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399 sidor
2016

This book brings together historical notes, reviews of research developments, fresh ideas on how to make VC (VapnikChervonenkis) 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.

Författare: Vladimir Vovk, Harris Papadopoulos, Alexander Gammerman
Format: Pocket/Paperback
ISBN: 9783319357782
Språk: Engelska
Antal sidor: 399
Utgivningsdatum: 2016-10-22
Förlag: Springer International Publishing AG