Skip navigation
Skip navigation

Large-alphabet sequence modelling - a comparative study

Shao, Wen

Description

Most raw data is not binary, but over some often large and structured alphabet. Sometimes it is convenient to deal with binarised data sequence, but typically exploiting the original structure of the data significantly improves performance in many practical applications. In this thesis, we study Martin-Lof random sequences that are maximally incompressible and provide a topological view on the size of the set of random sequences. We also investigate the relationship between binary data...[Show more]

CollectionsOpen Access Theses
Date published: 2014
Type: Thesis (MPhil)
URI: http://hdl.handle.net/1885/156315
DOI: 10.25911/5d51415ba1671

Download

File Description SizeFormat Image
b35790672-Shao_W.pdf62.81 MBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator