Work

Adaptive Context Tree Weighting

Year: 2012

Type: preprint

Abstract: We describe an adaptive context tree weighting (ACTW) algorithm, as an extension to the standard context tree weighting (CTW) algorithm. Unlike the standard CTW algorithm, which weights all observations equally regardless of the depth, ACTW gives increasing weight to more recent observations, aiming to improve performance in cases where the input sequence is from a non-stationary distribution. Data compression results show ACTW variants improving over CTW on merged files from standard compression benchmark tests while never being significantly worse on any individual file.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1201.2056

Authors: O'Neill, Alexander, Hutter, Marcus, Shao, Wen, Sunehag, Peter

Institutions: Australian National University, ETH Zurich

Language: English

Topic: Algorithms and Data Compression

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2951477096

Cites: 15

Cited by: 5

Related to: 20