Bandit Algorithms

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Bandit Algorithms

Author : Tor Lattimore
ISBN : 9781108486828
Genre : Business & Economics
File Size : 80.2 MB
Format : PDF
Download : 380
Read : 1239

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Category: Business & Economics
Bandit Algorithms
Language: en
Pages: 536
Authors: Tor Lattimore, Csaba Szepesvári
Categories: Business & Economics
Type: BOOK - Published: 2020-07-16 - Publisher: Cambridge University Press

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Bandit Algorithms for Website Optimization
Language: en
Pages: 73
Authors: John White
Categories: Computers
Type: BOOK - Published: 2012-12-24 - Publisher: "O'Reilly Media, Inc."

When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows
Digital Phenotyping and Mobile Sensing
Language: en
Pages: 291
Authors: Harald Baumeister, Christian Montag
Categories: Medical
Type: BOOK - Published: 2019-12-26 - Publisher: Springer Nature

This book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications
Bandit Algorithms
Language: en
Pages:
Authors: Tor Lattimore, Csaba Szepesvári
Categories: Algorithms
Type: BOOK - Published: 2020 - Publisher:

"Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on
Grundbegriffe der Wahrscheinlichkeitsrechnung
Language: de
Pages: 62
Authors: Andrei Nikolaevich Kolmogoroff
Categories: Probabilities
Type: BOOK - Published: 1946 - Publisher:

Books about Grundbegriffe der Wahrscheinlichkeitsrechnung