๐Ÿ–ฅ๏ธBayesiaLab

Overview

  • BayesiaLab is a powerful desktop application (Windows/Mac/Unix) that provides scientists with a comprehensive โ€œlaboratoryโ€ for machine learning, knowledge modeling, probabilistic reasoning (incl. diagnosis and simulation), causal inference, and optimization.

  • BayesiaLab utilizes the Bayesian network framework for gaining deep insights into problem domains and reasoning about them.

  • BayesiaLab is the result of more than twenty years of research by Dr. Lionel Jouffe and Dr. Paul Munteanu and their team of computer scientists. Their company, Bayesia S.A.S., is headquartered in Laval in northwestern France, with affiliates in the U.S. and Singapore.

  • Today, Bayesia S.A.S. is the worldโ€™s leading supplier of Bayesian network software, serving hundreds of major corporations and research organizations around the world.

  • Learn about the innovations implemented in the latest version of BayesiaLab here: What's New?

Executive Summary

Executive Summary This executive summary in PDF format explains on two pages how BayesiaLab can support you in your research and decision-making workflows. Pass it along to anyone in your organization who needs to know โ€” in non-technical terms โ€” what BayesiaLab can do.

BayesiaLab's Core Features & Functions

pageKnowledge ModelingpageMachine Learning with BayesiaLabpageInference: Diagnosis, Prediction, and SimulationpageModel UtilizationpageKnowledge Communication

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