DocumentCode :
1917346
Title :
A Machine Learning Perspective on Predictive Coding with PAQ8
Author :
Knoll, Byron ; de Freitas, Nando
Author_Institution :
Dept. of Comput. Sci., Univ. of British Columbia, Vancouver, BC, Canada
fYear :
2012
fDate :
10-12 April 2012
Firstpage :
377
Lastpage :
386
Abstract :
PAQ8 makes use of several simple machine learning models and algorithms. We show how understanding PAQ8 enables us to improve the algorithms. We also present a broad range of new applications of PAQ8 to machine learning tasks including language modeling and adaptive text prediction, adaptive game playing, classification, and lossy compression using features acquired via unsupervised learning.
Keywords :
data compression; learning (artificial intelligence); pattern classification; text analysis; PAQ8; adaptive game playing; adaptive text prediction; classification; language modeling; lossy compression; machine learning algorithms; machine learning models; machine learning perspective; predictive coding; unsupervised learning; Adaptation models; Context; History; Image coding; Mixers; Prediction algorithms; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference (DCC), 2012
Conference_Location :
Snowbird, UT
ISSN :
1068-0314
Print_ISBN :
978-1-4673-0715-4
Type :
conf
DOI :
10.1109/DCC.2012.44
Filename :
6189269
Link To Document :
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