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pro vyhledávání: '"d'Aquin"'
Machine learning promises to accelerate the material discovery by enabling high-throughput prediction of desirable macro-properties from atomic-level descriptors or structures. However, the limited data available about precise values of these propert
Externí odkaz:
http://arxiv.org/abs/2411.18259
Autor:
d'Aquin, Mathieu, Nauer, Emmanuel
It has been reliably shown that the similarity of word embeddings obtained from popular neural models such as BERT approximates effectively a form of semantic similarity of the meaning of those words. It is therefore natural to wonder if those embedd
Externí odkaz:
http://arxiv.org/abs/2408.00444
Autor:
d'Aquin, Mathieu
Building taxonomies is often a significant part of building an ontology, and many attempts have been made to automate the creation of such taxonomies from relevant data. The idea in such approaches is either that relevant definitions of the intension
Externí odkaz:
http://arxiv.org/abs/2312.05866