Estudo Comparativo de Métricas de Pontuação para Aprendizagem Estrutural de Redes Bayesianas
Bayesian networks are powerful tools as they represent probability distributions as graphs. They work with uncertainties of real systems. Since last decade there is a special interest in learning network structures from data. However learning the best network structure is a NP-Hard problem, so many...
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| フォーマット: | Dissertação |
| 言語: | por |
| 出版事項: |
Universidade Federal do Rio Grande do Norte
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| オンライン･アクセス: | https://repositorio.ufrn.br/jspui/handle/123456789/15513 |
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