Concept information
Término preferido
LPU
Definición
- A text learning or classification system that learns from a set of positive documents and a set of unlabeled documents (without labeled negative documents). This type of learning is different from classic text learning/classification, in which both positive and negative training documents are required. (Loterre)
Concepto genérico
Etiquetas alternativas
- Learning from Positive and Unlabeled data
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/8LP-W3HJP2V5-1
{{label}}
{{#each values }} {{! loop through ConceptPropertyValue objects }}
{{#if prefLabel }}
{{/if}}
{{/each}}
{{#if notation }}{{ notation }} {{/if}}{{ prefLabel }}
{{#ifDifferentLabelLang lang }} ({{ lang }}){{/ifDifferentLabelLang}}
{{#if vocabName }}
{{ vocabName }}
{{/if}}