Competing with Markov prediction strategies

Vovk, Vladimir

(2006)

Vovk, Vladimir (2006) Competing with Markov prediction strategies.

Our Full Text Deposits

Full text access: Open

Full text file - 172.98 KB

Abstract

Assuming that the loss function is convex in the prediction, we construct a prediction strategy universal for the class of Markov prediction strategies, not necessarily continuous. Allowing randomization, we remove the requirement of convexity.

Information about this Version

This is a Submitted version
This version's date is: 28/7/2006
This item is not peer reviewed

Link to this Version

https://repository.royalholloway.ac.uk/items/17f092b1-722c-52e6-5433-3f74c1635f2c/5/

Item TypeMonograph (Working Paper)
TitleCompeting with Markov prediction strategies
AuthorsVovk, Vladimir
Uncontrolled Keywordsmachine learning, prediction with expert advice
DepartmentsFaculty of Science\Computer Science

Identifiers

Deposited by Research Information System (atira) on 03-Jul-2014 in Royal Holloway Research Online.Last modified on 03-Jul-2014

Notes

Also published in the COLT 2006 proceedings


Details