Category: Products

  • Hybrid Dynamic Bayesian Networks Video

    Hybrid Dynamic Bayesian Networks Video

    Hybrid Dynamic Bayesian Networks video is now available on our YouTube channel.

  • SMILE 2.3

    SMILE 2.3

    SMILE 2.3 is now available. This version of the library supports equations in dynamic Bayesian networks. The libraries for C++, Python, Java, R and .NET can be downloaded from https://download.bayesfusion.com. We also maintain repositories for use with Maven and pip.  Please see the download website for more details. Supported Python versions are 3.9 to 3.13.

  • GeNIe 5.0

    GeNIe 5.0

    [av_textblock size=” font_color=” color=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-m235c57l’ admin_preview_bg=”] GeNIe 5.0 GeNIe 5.0, available for download as of this date, is our next big step toward full fusion of Bayesian networks with systems of equations. It allows for continuous nodes inside DBNs (Dynamic Bayesian Networks), specified by means of equations and continuous probability distributions. This…

  • SMILE 2.2

    SMILE 2.2

    SMILE 2.2 is now available. This version of the library supports new diagnosis algorithms. The libraries for C++, Python, Java, R and .NET can be downloaded from https://download.bayesfusion.com. We also maintain repositories for use with Maven and pip, see the download website for more details. Supported Python versions are 3.8 to 3.12.

  • GeNIe 4.1

    GeNIe 4.1

    [av_textblock size=” font_color=” color=” av-desktop-hide=” av-medium-hide=” av-small-hide=” av-mini-hide=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=”] We have released GeNIe 4.1 with new GUI for diagnosis. The software now includes a number of new diagnostic algorithms, and displays diagnostic values for observations which were already performed. [/av_textblock] [av_gallery ids=’13292′ style=’big_thumb lightbox_gallery’ preview_size=’portfolio’ crop_big_preview_thumbnail=’avia-gallery-big-crop-thumb’ thumb_size=’portfolio’ columns=’5′ imagelink=’lightbox’ lazyload=’avia_lazyload’ av_uid=’av-lmjy21o1′ admin_preview_bg=”]

  • BayesBox Dashboard Tutorial Video

    BayesBox Dashboard Tutorial Video

    BayesBox Dashboard provides at-a-glance views of selected key variables that are relevant to a given objective or a business process.

  • Metalog Builder

    Metalog Builder

    [av_textblock size=” font_color=” color=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-wwbod7′ admin_preview_bg=”] BayesFusion has released Metalog Builder, an interactive tool for constructing metalog distributions, accessible to the decision modeling community through a web interface at https://metalog.bayesfusion.com/.  Metalog distribution (also known as the Keelin distribution) is extremely flexible and is capable of fitting many naturally occurring distributions.  It can…

  • Probability Distribution Visualizer

    Probability Distribution Visualizer

    [av_textblock size=” font_color=” color=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” av_uid=’av-l9o6dm15′ admin_preview_bg=”] BayesFusion has released Probability Distribution Visualizer, an interactive tool for visualizing expressions with probability distributions through Monte Carlo simulation.  When the distribution is transformed by an equation expression, the task is daunting even for an experienced decision analyst and requires considerable statistical insight.  The tool aids…

  • SMILE support for M series (Apple Silicon) Macs

    SMILE support for M series (Apple Silicon) Macs

    Starting with version 2.0, SMILE fully supports Macs based on M series (Apple Silicon) ARM CPUs. The C++, Python and Java libraries are available as universal binaries, containing both ARM and x64 code. The wrapper for R is available as separate binaries for ARM and x64. To download the libaries, go to https://download.bayesfusion.com.

  • SMILE 2.0

    SMILE 2.0

    SMILE 2.0 is now available. This version of the library supports discrete node outcomes based on numeric intervals or point values. Also, the metalog probability distribution can be used in equation node definitions. The libraries for C++, Python, Java, R and .NET can be downloaded from https://download.bayesfusion.com. We also maintain repositories for use with Maven and…