Object Ontologies as a Priori Models for Logical-Probabilistic Machine Learning
Logical-probabilistic machine learning (LPML) is an AI method able to explicitly work with a priori knowledge represented in data models. This feature significantly complements traditional deep learning knowledge acquiring. Object ontologies are a promising example of such a priori models. They are...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Irkutsk State University
2025-03-01
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| Series: | Известия Иркутского государственного университета: Серия "Математика" |
| Subjects: | |
| Online Access: | https://mathizv.isu.ru/en/article/file?id=1525 |
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