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Titel: User-friendly Introduction to PAC-Bayes Bounds
Zustand: New
Autor: Pierre Alquier
Produktart: Taschenbuch
EAN: 9781638283263
ISBN: 9781638283263
Verlag: now publishers Inc
Genre: Language & Reference
Thematik: Science Nature & Math, Computing & Internet
Release date: 22/01/2024
Description: Probably almost correct (PAC) bounds have been an intensive field of research over the last two decades. Hundreds of papers have been published and much progress has been made resulting in PAC-Bayes bounds becoming an important technique in machine learning.The proliferation of research has made the field for a newcomer somewhat daunting. In this tutorial, the author guides the reader through the topic’s complexity and large body of publications. Covering both empirical and oracle PAC-bounds, this book serves as a primer for students and researchers who want to get to grips quickly with the subject. It provides a friendly introduction that illuminates the basic theory and points to the most important publications to gain deeper understanding of any particular aspect.
Sprache: Englisch
Herstellungsland und -region: US
Höhe: 234mm
Länge: 156mm
Gewicht: 213g
Buchreihe: Foundations and Trends® in Machine Learning
Produktart: Textbook

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