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Conditioning and Dilation with Coherent Nearly-Linear Models
In previous work [1] we introduced Nearly-Linear (NL) models, a class of neighbourhood models obtaining upper/lower probabilities by means of a linear affine transformation (with barriers) of a given probability. NL models are partitioned into more subfamilies, some of which are coherent. One, that...
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| 出版年: | Information Processing and Management of Uncertainty in Knowledge-Based Systems |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7274795/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50143-3_11 |
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