Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen
The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically...
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| Format: | Online |
| Langue: | allemand |
| Publié: |
KIT Scientific Publishing
2021
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| Sujets: | |
| Accès en ligne: | ONIX_20210527_9783731510628_34 |
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| _version_ | 1869519874498232320 |
|---|---|
| author | Sander, Jennifer |
| author_browse | Sander, Jennifer |
| author_facet | Sander, Jennifer |
| author_sort | Sander, Jennifer |
| collection | Directory of Open Access Books |
| description | The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically relevant tasks, Bayesian methods cause high, often unacceptable effort. In the work, novel approaches to cope with Bayesian fusion in such situations are formulated and investigated. |
| format | Online |
| id | doab-20.500.12854ir-70092 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-700922025-08-13T14:12:42Z Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen Sander, Jennifer Informationsfusion heterogene Informationsquellen Bayes’sche Theorie Prinzip der Maximalen Entropie Unsicherheit information fusion heterogeneous information sources Bayesian theory Maximum Entropy principle uncertainty thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists The solution of various tasks benefits from information fusion or even requires it. The Bayesian fusion methodology is clear, well-founded and fulfills the essential requirements for a meaningful methodology also for fusing the contributions of heterogeneous information sources. In many practically relevant tasks, Bayesian methods cause high, often unacceptable effort. In the work, novel approaches to cope with Bayesian fusion in such situations are formulated and investigated. 2021-05-28T02:07:28Z 2021-05-28T02:07:28Z 2021-05-27T09:28:33Z 2021 book ONIX_20210527_9783731510628_34 OCN: 1258397772 1614-3914 https://library.oapen.org/handle/20.500.12657/48837 9783731510628 https://directory.doabooks.org/handle/20.500.12854/70092 ger Karlsruher Schriften zur Anthropomatik open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/48837/1/ansatze-zur-lokalen-bayesschen-fusion-von-informationsbeitragen-heterogener-quellen.pdf https://library.oapen.org/bitstream/20.500.12657/48837/1/ansatze-zur-lokalen-bayesschen-fusion-von-informationsbeitragen-heterogener-quellen.pdf https://library.oapen.org/bitstream/20.500.12657/48837/1/ansatze-zur-lokalen-bayesschen-fusion-von-informationsbeitragen-heterogener-quellen.pdf https://library.oapen.org/bitstream/20.500.12657/48837/1/ansatze-zur-lokalen-bayesschen-fusion-von-informationsbeitragen-heterogener-quellen.pdf KIT Scientific Publishing 10.5445/KSP/1000125447 10.5445/KSP/1000125447 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731510628 AG Universitätsverlage 342 Karlsruhe open access |
| spellingShingle | Informationsfusion heterogene Informationsquellen Bayes’sche Theorie Prinzip der Maximalen Entropie Unsicherheit information fusion heterogeneous information sources Bayesian theory Maximum Entropy principle uncertainty thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists Sander, Jennifer Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen |
| title | Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen |
| title_full | Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen |
| title_fullStr | Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen |
| title_full_unstemmed | Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen |
| title_short | Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen |
| title_sort | ansatze zur lokalen bayes schen fusion von informationsbeitragen heterogener quellen |
| topic | Informationsfusion heterogene Informationsquellen Bayes’sche Theorie Prinzip der Maximalen Entropie Unsicherheit information fusion heterogeneous information sources Bayesian theory Maximum Entropy principle uncertainty thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists |
| topic_facet | Informationsfusion heterogene Informationsquellen Bayes’sche Theorie Prinzip der Maximalen Entropie Unsicherheit information fusion heterogeneous information sources Bayesian theory Maximum Entropy principle uncertainty thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists |
| url | ONIX_20210527_9783731510628_34 |
| work_keys_str_mv | AT sanderjennifer ansatzezurlokalenbayesschenfusionvoninformationsbeitragenheterogenerquellen |