Stochastic margin-based structure learning of Bayesian network classifiers

The margin criterion for parameter learning in graphical models gained significant impact over the last years. We use the maximum margin score for discriminatively optimizing the structure of Bayesian network classifiers. Furthermore, greedy hill-climbing and simulated annealing search heuristics ar...

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Detalles Bibliográficos
Autores principales: Pernkopf, Franz, Wohlmayr, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914412/
https://www.ncbi.nlm.nih.gov/pubmed/24511159
http://dx.doi.org/10.1016/j.patcog.2012.08.007

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3914412/
https://www.ncbi.nlm.nih.gov/pubmed/24511159
http://dx.doi.org/10.1016/j.patcog.2012.08.007

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