Measures of Complexity Festschrift for Alexey Chervonenkis /

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 recogniti...

Full description

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Vovk, Vladimir (Editor), Papadopoulos, Harris (Editor), Gammerman, Alexander (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XXXI, 399 p. 47 illus., 30 illus. in color. online resource.
ISBN:9783319218526