Bayesian Networks in the Cloud
How to use AWS Lambda with SMILE and more – see our new video:
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How to use AWS Lambda with SMILE and more – see our new video:
BayesFusion’s Maven repository for jSMILE is now available. If you use jSMILE in a Maven-based project, you can reference the library directly in your POM file. For more details (including native library integration in POM), please refer to the Platforms and Wrappers/Java and jSMILE /Maven section in SMILE Wrappers Programmer’s Manual at our documentation website: https://support.bayesfusion.com/docs/
SMILE library running on an ESP32 microcontroller
This is a 14-hour course covering the principles of probabilistic modeling using Bayesian networks, building Bayesian networks based on expert knowledge (both structure and numerical parameters), dynamic Bayesian networks, learning Bayesian networks from data and causal discovery, parameter learning, validation techniques, elements of expected utility theory, utility elicitation, and influence diagrams. Meeting times: The […]
This is a 12-hour course covering the principles of probabilistic modeling using Bayesian networks, building Bayesian networks based on expert knowledge (both structure and numerical parameters), dynamic Bayesian networks, learning Bayesian networks from data and causal discovery, parameter learning, validation techniques, elements of expected utility theory, utility elicitation, and influence diagrams. Meeting times: The […]
The Program Committee of the 10th Probabilistic Graphical Models (PGM 2020) conference announced the winner of the BayesFusion Best Student Paper Award in Aalborg, Denmark, on September 25. The winner is: Alessandro Bregoli, Universita degli Studi di Milano-Bicocca, Milano, Italy, for the paper entitled Constraint-Based Learning for Continuous-Time Bayesian Networks, co-authored with Marco Scutari and […]
BayesFusion releases SMILE 1.6. This version fully supports Unicode in node identifiers, names, and other textual attributes stored in models. To download the library, visit https://download.bayesfusion.com The documentation is available at https://support.bayesfusion.com/docs
We have just released GeNIe 3.0. This version includes a user interface refresh and full support for Unicode in directory paths and all texts inside models, so GeNIe 3.0 supports non-Latin alphabets. To download the GeNIe Installer, visit https://download.bayesfusion.com
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 […]
BayesBox is an online viewer/repository for Bayesian networks and other probabilistic graphical model types.