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Context tree switching

Date

Authors

Hutter, Marcus

Veness, Joel

Ng, Kee Siong

Bowling, Michael

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

This paper describes the Context Tree Switching technique, a modification of Context Tree Weighting for the prediction of binary, stationary, n-Markov sources. By modifying Context Tree Weighting's recursive weighting scheme, it is possible to mix over a

Keywords

Keywords: Calgary; Context Tree Weighting; Original algorithms; Space complexity; Switching techniques; Weighting scheme; Data compression; Forestry; Trees (mathematics); Binary trees; Algorithms; Data Bases; Forestry Context Tree Weighting

URI

http://hdl.handle.net/1885/68810

Collections

ANU Research Publications

Source

Data Compression Conference Proceedings

Type

Conference paper

DOI

10.1109/DCC.2012.39

Restricted until

2037-12-31

Downloads

File

Description

01_Hutter_Context_tree_switchin_2012.pdf (384.42 KB)