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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2013
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| Materias: | |
| 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 |