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From information to evidence in a Bayesian network
Evidence in a Bayesian network comes from information based on the observation of one or more variables. A review of the terminology leads to the assessment that two main types of non-deterministic evidence have been defined, namely likelihood evidence and probabilistic evidence but the distinction...
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| Main Authors: | , , , |
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| Format: | Default Conference proceeding |
| Published: |
2014
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/22808 |
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| _version_ | 1818172103867760640 |
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| author | Ali Ben Mrad Veronique Delcroix Sylvain Piechowiak Philip Leicester |
| author_facet | Ali Ben Mrad Veronique Delcroix Sylvain Piechowiak Philip Leicester |
| author_sort | Ali Ben Mrad (7183370) |
| collection | Figshare |
| description | Evidence in a Bayesian network comes from information based on the observation of one or more variables. A review of the terminology leads to the assessment that two main types of non-deterministic evidence have been defined, namely likelihood evidence and probabilistic evidence but the distinction between fixed probabilistic evidence and not fixed probabilistic evidence is not clear, and neither terminology nor concepts have been clearly defined. In particular, the term soft evidence is confusing. The article presents definitions and concepts related to the use of non-deterministic evidence in Bayesian networks, in terms of specification and propagation. Several examples help to understand how an initial piece of information can be specified as a finding in a Bayesian network. |
| format | Default Conference proceeding |
| id | rr-article-9548630 |
| institution | Loughborough University |
| publishDate | 2014 |
| record_format | Figshare |
| spelling | rr-article-95486302014-01-01T00:00:00Z From information to evidence in a Bayesian network Ali Ben Mrad (7183370) Veronique Delcroix (7183373) Sylvain Piechowiak (7183376) Philip Leicester (1253994) Mechanical engineering not elsewhere classified Non-deterministic evidence Uncertain evidence Fixed probabilistic finding Likelihood finding Soft evidence Virtual evidence Mechanical Engineering not elsewhere classified Evidence in a Bayesian network comes from information based on the observation of one or more variables. A review of the terminology leads to the assessment that two main types of non-deterministic evidence have been defined, namely likelihood evidence and probabilistic evidence but the distinction between fixed probabilistic evidence and not fixed probabilistic evidence is not clear, and neither terminology nor concepts have been clearly defined. In particular, the term soft evidence is confusing. The article presents definitions and concepts related to the use of non-deterministic evidence in Bayesian networks, in terms of specification and propagation. Several examples help to understand how an initial piece of information can be specified as a finding in a Bayesian network. 2014-01-01T00:00:00Z Text Conference contribution 2134/22808 https://figshare.com/articles/conference_contribution/From_information_to_evidence_in_a_Bayesian_network/9548630 CC BY-NC-ND 4.0 |
| spellingShingle | Mechanical engineering not elsewhere classified Non-deterministic evidence Uncertain evidence Fixed probabilistic finding Likelihood finding Soft evidence Virtual evidence Mechanical Engineering not elsewhere classified Ali Ben Mrad Veronique Delcroix Sylvain Piechowiak Philip Leicester From information to evidence in a Bayesian network |
| title | From information to evidence in a Bayesian network |
| title_full | From information to evidence in a Bayesian network |
| title_fullStr | From information to evidence in a Bayesian network |
| title_full_unstemmed | From information to evidence in a Bayesian network |
| title_short | From information to evidence in a Bayesian network |
| title_sort | from information to evidence in a bayesian network |
| topic | Mechanical engineering not elsewhere classified Non-deterministic evidence Uncertain evidence Fixed probabilistic finding Likelihood finding Soft evidence Virtual evidence Mechanical Engineering not elsewhere classified |
| url | https://hdl.handle.net/2134/22808 |