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Learning Tversky Similarity
In this paper, we advocate Tversky’s ratio model as an appropriate basis for computational approaches to semantic similarity, that is, the comparison of objects such as images in a semantically meaningful way. We consider the problem of learning Tversky similarity measures from suitable training dat...
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| Publicado no: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274714/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50143-3_21 |
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