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Minimum description length

Minimum description length (MDL) is a model selection principle where the shortest description of the data is judged to be the best model. MDL methods learn through a data compression perspective and are sometimes described as mathematical applications of Occam's razor. The MDL principle can be extended to other forms of inductive inference and learning…

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Explore the main themes, entities and connections around Minimum description length. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Statistical MDL learning

SymbolsBinaryAlphabetCompress the dataThe statistical notion of information
22 related topics

Recent work on algorithmic MDL learning

Artificial general intelligenceMarvin Minsky
2 related topics

Other systems

Minimum message lengthParameter estimationOne-part code
3 related topics

MDL in machine learning

Kolmogorov complexityAutomated theorem prover
2 related topics

Topics to explore

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Overview

MDL in machine learning

Recent work on algorithmic MDL learning

Statistical MDL learning

Other systems

Advanced semantic analysis

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Map overview Semantic statistics

Minimum description length

Nodes44
Edges43
Triples19
Avg. degree1.95
Density0.045455
Components1

How this topic connects Entity context

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Minimum description length

Top relations

related to Further reading · 10
Minimum description length → Advances, Features, Helsinki, Homepage, ISBN, Jorma Rissanen, MDL, MIT Press, University, Web
related to MDL in machine learning · 6
Minimum description length → Kolmogorov, Learning, MDL, Nevertheless, That, The

Important terminology Word statistics

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Important terminology

mdl data model code length learning description theory one principle best set statistical codes bayesian information probability hypothesis displaystyle minimum

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Lassoinstance ofpenalization methods0.80text
Ridgeinstance ofpenalization methods0.80text
and so oninstance ofpenalization methods0.80text
Minimum description lengthrelated to Further readingWeb0.60section
Minimum description lengthrelated to Further readingUniversity0.60section
Minimum description lengthrelated to Further readingHelsinki0.60section
Minimum description lengthrelated to Further readingFeatures0.60section
Minimum description lengthrelated to Further readingMDL0.60section
Minimum description lengthrelated to Further readingHomepage0.60section
Minimum description lengthrelated to Further readingJorma Rissanen0.60section
Minimum description lengthrelated to Further readingAdvances0.60section
Minimum description lengthrelated to Further readingMIT Press0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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