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- Description:
PROFET is a GUI based software application that automatically builds Dynamic Bayesian Networks (DBNs) from Ordinary Differential Equations (ODEs) entered by the user and provides a framework to perform inference with them. The DBN generated by PROFET can handle both data and model uncertainty in a principled manner. It can be used for temporal data mining with noisy and missing data and can also be used to re-estimate model parameters automatically using data streams. For temporal inference, PROFET includes standard fixed time step particle filtering and adaptive-time particle filtering algorithms.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Supported Operating Systems: Linux, Windows, Mac Os
- Data Formats: Csv
- Tags: Adaptive Time Particle Filtering, Mathematical Models, Particle Filtering, Dynamic Bayesian Networks
- Archive: download here
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