Cargando…
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
BACKGROUND: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distributions, including distributions from directional statistics (the statistics of angles, directions and orientations). RESULT...
| Autores principales: | , |
|---|---|
| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2848649/ https://www.ncbi.nlm.nih.gov/pubmed/20226024 http://dx.doi.org/10.1186/1471-2105-11-126 |