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Compression, Information Theory, and Grammars: A Unified Approach
Abraham Bookstein, Shmuel T. Klein
The University of Chicago
Research output
:
Contribution to journal
›
Article
›
peer-review
16
Scopus citations
Overview
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Dive into the research topics of 'Compression, Information Theory, and Grammars: A Unified Approach'. Together they form a unique fingerprint.
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Computer Science
Theoretic Measure
100%
And-States
100%
Information Theory
100%
Practical Interest
100%
Text Compression
100%
Text Representation
100%
Formal Grammar
100%
Clustering Algorithm
100%
Compression Algorithm
100%
Compression Technique
100%
Shannon Entropy
100%
Keyphrases
Information Theory
100%
Unified Approach
100%
Grammar
100%
Text Generation
100%
Probability Distribution
66%
Information-theoretic Measures
33%
Clustering Algorithm
33%
Markov Model
33%
Large Database
33%
Compression Algorithms
33%
Similarity Measure
33%
Information-centric
33%
CD-ROM
33%
Compression Techniques
33%
Shannon Entropy
33%
Markov State
33%
Text Compression
33%
Text Representation
33%
Formal Grammar
33%
Text Model
33%
Flexible Model
33%
Entropy Formula
33%
Mathematics
Probability Distribution
100%
Information Theory
100%
Shannon Entropy
50%
Clustering Algorithm
50%