A. Puglisi, D. Benedetto, E. Caglioti, V. Loreto, A. Vulpiani  Home/Search
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Abstract: Motivated by the problem of the definition of a distance between two sequences of characters, we investigate the so-called learning process of a typical sequential data compression schemes. We focus on the problem of how a compression algorithm optimizes its features at the interface between two different sequences A and B while zipping the sequence A B obtained by simply appending B after A. We show the existence of a scaling function (the "learning function") which rules the way in which... (Update)
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BibTeX entry: (Update)
A. Puglisi et al., "Data Compression and Learning in Time Sequences Analysis," condmat /0207321, submitted to Physica D, 2002. http://citeseer.ist.psu.edu/puglisi03data.html More
@misc{ puglisi02data,
author = "A. Puglisi",
title = "Data Compression and Learning in Time Sequences Analysis",
text = "A. Puglisi et al., Data Compression and Learning in Time Sequences Analysis,
condmat /0207321, submitted to Physica D, 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/puglisi03data.html" }
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Zipping Out Relevant Information - Benedetto, al. (2003) (Correct)
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