SMILE for Visual Studio 2017 released
SMILE is now available for Visual Studio 2017.
This author has yet to write their bio.Meanwhile lets just say that we are proud BayesFusion contributed a whooping 49 entries.
SMILE is now available for Visual Studio 2017.
The Program Committee of the 9th Probabilistic Graphical Models (PGM-2018) conference announced the winners of the BayesFusion Best Student Paper Award during the PGM-2018 conference banquet in Prague, Czech Republic, on September 13. The winners are: BayesFusion Best Student Paper Award given jointly to: Irene Córdoba, Department of Artificial Intelligence Universidad Politécnica de Madrid, Spain, for […]
We have added iOS to the list of platforms for which SMILE is compiled. The library is available for download.
SMILE licenses generated by our licensing server include the license for use with R/rJava (in addition to C++, Python, Java, C# and VB.NET).
BayesFusion, LLC, has offered a $1,000 cash award for the best student paper in the 9th Probabilistic Graphical Models (PGM-2018) conference, which will take place in Prague, Czech Republic, September 11-14.
BayesFusion releases an interactive model repository that allows users to open models and work with them using any web browser. The user can set evidence (or a decision in influence diagrams) and observe the impact of this observation on the rest of the model. Models in the repository are divided into small Bayesian networks, large […]
BayesFusion has released PySMILE, a SMILE wrapper for direct use from Python. We supported Python in the past but only through jSMILE, SMILE’s Java wrapper. We strive to ensure feature symmetry between the wrappers — features available in one wrapper are generally available in other wrappers and are all described in one wrapper manual. PySMILE can […]
SMILE 1.2.1 has been released (including jSMILE and SMILE.NET wrappers). This version of SMILE offers performance improvements and bug fixes.
SMILE 1.2.0 has been released (including jSMILE and SMILE.NET wrappers). This version of SMILE includes hybrid modeling functionality, which is available in GeNIe 2.2 since August 2017.
BayesFusion, LLC, has released GeNIe 2.2 with hybrid Bayesian networks capability. Hybrid Bayesian networks allow for both discrete and continuous nodes. GeNIe 2.2 allows for full modeling freedom with no restrictions on the functional form of the interactions between variables and on the probability distributions involved in these interactions.