Entries by BayesFusion

GeNIe 2.5 released

We have released GeNIe 2.5. This version includes QGeNIe, a qualitative interface to Bayesian networks useful for rapid prototyping and support of strategic decisions in group settings. We have also introduced many small improvements that further enhance user modeling interface, including streamlining GeNIe diagnostic interface, various ways of selecting and highlighting model elements, and model […]

SMILE 1.4 released

SMILE 1.4 is now available. Notable new features in this release include: full support for Python 3.x new functions, random generators and custom functions for use in equation-based nodes noisyMAX decomposition algorithm specialized entropy-based diagnosis algorithm for mutually exclusive faults performance and reliability improvements Libraries are available for download now at https://download.bayesfusion.com. Fun fact: during […]

Free BayesBox evaluation available now

BayesFusion now offers free, 30-day, hosted evaluation of BayesBox. We maintain the server, the customer only needs to upload the networks using browser-based admin interface. Access to uploaded models can be protected by password on request. Contact us for details.

GeNIe 2.4 released

BayesFusion releases GeNIe 2.4 today. Users can now define their own functions for use in continuous and hybrid Bayesian models. NoisyMAX and noisyAdder are now fully supported in hybrid models. It’s also possible to download models directly from a BayesBox instance.

BayesMobile released

We have released BayesMobile, an application for mobile devices which can be used to perform inference and diagnosis with Bayesian models.

BayesBox released

We have released BayesBox, a software for using Bayesian networks in a web browser. To see it in action, visit our interactive model repository at https://repo.bayesfusion.com or a demo site at https://demo.bayesfusion.com.

GeNIe 2.3 released

BayesFusion releases GeNIe 2.3 with numerous enhancements to the user interface, especially in its learning functionality. Among other improvements, GeNIe 2.3 introduces direct treatment of Noisy-MAX gates in inference algorithms, which greatly improves performance for large models containing Noisy-MAX gates.