Concept information
Preferred term
Markov model
Broader concept
Narrower concepts
Example
- The dependency features utilized to determine the best pos-tag in Markov models are the categories of context words. (Tsai & Chen, 2004)
- The final accuracy results of the context-rule model and the two Markov models coincided at approximately 98.5% and 99.4% with around 13% and 35% manual proofreading. (Tsai & Chen, 2004)
- The result showed that the context-rule model outperformed both Markov models. (Tsai & Chen, 2004)
In other languages
-
French
-
chaine de Markov
URI
http://data.loterre.fr/ark:/67375/8LP-R3KJ0TQV-V
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}