Learning the parameters of possibilistic networks from data: Empirical comparison Article Swipe
International audience
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://hal.science/hal-01532494
- OA Status
- green
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2621400807
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2621400807Canonical identifier for this work in OpenAlex
- Title
-
Learning the parameters of possibilistic networks from data: Empirical comparisonWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-01-01Full publication date if available
- Authors
-
Maroua Haddad, Philippe Leray, Amélie Levray, Karim TabiaList of authors in order
- Landing page
-
https://hal.science/hal-01532494Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://hal.science/hal-01532494Direct OA link when available
- Concepts
-
Possibility theory, Computer science, Artificial intelligence, Similarity (geometry), Extension (predicate logic), Imperfect, Machine learning, Data mining, Fuzzy logic, Fuzzy set, Linguistics, Programming language, Philosophy, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2020: 1, 2019: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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