Adaptive Context Tree Weighting

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

11 LaTeX pages, 7 tables

Scientific paper

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Adaptive Context Tree Weighting does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Adaptive Context Tree Weighting, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive Context Tree Weighting will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-463063

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.