Table of contents
About this book
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.
Editors and affiliations
- DOI https://doi.org/10.1007/978-3-319-21852-6
- Copyright Information Springer International Publishing Switzerland 2015
- Publisher Name Springer, Cham
- eBook Packages Computer Science
- Print ISBN 978-3-319-21851-9
- Online ISBN 978-3-319-21852-6
- Buy this book on publisher's site