New articles by HUGIN developers as co-authors: A parallel algorithm for Bayesian network structure learning from large data sets: http://www.sciencedirect.com/science/article/pii/S0950705116302465 MAP inference in dynamic hybrid Bayesian networks: https://link.springer.com/article/10.1007%2Fs13748-017-0115-7 Diagnosing agrosilvopastoral practices using Bayesian networks: https://link.springer.com/article/10.1007%2Fs10457-016-9931-1Read more
News
Today we are releasing a new version of the HUGIN software (v. 8.5) The main new features of this release are support for adaptation of class parameters in Object-Oriented Bayesian Networks including Dynamic Bayesian Networks as a special case. HUGIN now supports parameter adaptation in network classes using either fractional update or Online Expectation-Maximization (EM).Read more
The last day at our HUGIN training course in Bayesian Networks. Three days completed with great students here in Aalborg. During the three days, our students have learned how to construct and analyze Bayesian Networks using HUGIN software and how to use Bayesian Networks to solve practical real-world problems. Modeling techniques, development and programming using the HUGIN DecisionRead more
A new article including an interview with our CEO Anders Madsen has been published by JourneyXP/AI Garage. AI Garage is a Copenhagen based monthly event hosted by JourneyXP. The purpose of AI Garage is to build an informal community in which socializing, networking and planning together with like-minded people, how AI will take over theRead more
The annual meeting for the EU Project, SelSus takes place on March 28-30 in Porto Portugal. SelSus – an acronym for Self-Sustaining Manufacturing Systems – is a project collaboration involving 14 commercial and academic partners from across Europe. The world’s next generation machines, fixtures and tools will embed smart technology and materials that enable self-diagnosisRead more