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This is the author’s version of a work that was submitted/accepted for publication in the following source: Seldin, Yevgeny, Bartlett, Peter L., Crammer, Koby, & Abbasi-Yadkori, Yasin[removed]Prediction with limited adv
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Document Date: 2014-07-17 03:28:02

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File Size: 301,56 KB

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City

Beijing / Lille / /

Company

Neural Information Processing Systems / Cambridge University Press / /

Country

China / /

Currency

pence / /

Facility

Intel Collaborative Research Institute / Queensland University of Technology BARTLETT / IL Yasin Abbasi-Yadkori Queensland University of Technology / Paid Observations Yevgeny Seldin Queensland University of Technology / /

IndustryTerm

medical insurance / average forecaster algorithm / online learning / insurance / self-confident on-line learning algorithms / online game / online probing game / /

NaturalFeature

t=1 Mt / If Mt / /

OperatingSystem

Xp / /

Organization

Cambridge University / Intel Collaborative Research Institute / National Science Foundation / Queensland University of Technology / UC Berkeley / Queensland University of Technology BARTLETT / Computational Intelligence / Technion / /

Person

Yevgeny Seldin / Claudio Gentile / Peter Bartlett / Yasin Abbasi-Yadkori / Mansour / /

Position

author / inf sup RT / RT / player / /

ProvinceOrState

Queensland / /

PublishedMedium

Machine Learning / IEEE Transactions on Information Theory / Journal of Machine Learning Research / /

Technology

artificial intelligence / Adaptive and self-confident on-line learning algorithms / average forecaster algorithm / Machine Learning / refined algorithm / EXP3 algorithm / /

URL

http /