New Release: BayesiaLab 9.0

Since 2001, BayesiaLab has been the undisputed reference standard for Bayesian network software. Version 9 raises the bar even higher by further expanding the range of research and analytics applications of the Bayesian Network formalism. With BayesiaLab 9, the powerful properties of the Bayesian Network paradigm can be utilized even better for exploring complex, high-dimensional problem domains.

Here is a small selection of new or updated features released in BayesiaLab 9.0:

• The [Target and Function node optimization tools](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450939.html) are enhanced with new options and outputs.
• The new [Most Relevant Explanations](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450805.html) function provides precise and concise explanations for your current set of evidence.
• By setting [Structural Priors](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450474.html), you incorporate any available, partial prior knowledge about a structure.
• You can improve the quality of machine-learned models with BayesiaLab's new Smoothed Bootstrapping algorithm, [Data Perturbation](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450586.html). It perturbs the sample data not only with the weight of each particle but also with the overall Structural Coefficient.
• You can automatically estimate [Structural Priors](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450602.html) via Resampling/Bagging. This is particularly powerful for small data sets as you no longer have to search for the best Structural Coefficient.
• As a step toward learning causal Bayesian networks, you can induce a [Partial Order](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450634.html) among your variables via Resampling/Bagging.
• The [Markov Blanket Learning Algorithms](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/49054144.html) can now take into account constraints on arc directionality as defined by [Temporal Indices](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/temporal-indices-2392479.html) or [Forbidden Arcs](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/forbidden-arcs-management-2392478.html).
• The cross-validation of [Variable Clustering](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/49053754.html) now features Purities to estimate the quality of Factors.
• The [Code Export](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/bayesialab-code-export-modules.html) function (optional), can now produce [Python](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/43450395.html) code. This code, when embedded into your own program, can compute the posterior probability of a Target node given its [Markov Blanket](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/key-concepts-markov-blanket.html).
• By separate subscription, a new [Media](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/49053806.html) tool gives you access to presentation slides and recorded videos of the [Introductory and Advanced BayesiaLab Courses](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/events.html).
• In the [3D Mapping](/Users/stefanconrady/Library/CloudStorage/OneDrive-BayesiaUSA/ClickHelp Backup/project-backup_bayesialab_2024-06-07_08-24-26/HTML/49054038.html) tool, you can now apply textures to nodes and use auto-rotate for creating visually appealing animations of your Bayesian network models.

BayesiaLab 9 Presentation at the 7^th Annual BayesiaLab Conference