Business-related news

The Program Committee of the 9th Probabilistic Graphical Models (PGM-2018) conference announced the winners of the BayesFusion Best Student Paper Award during the PGM-2018 conference banquet in Prague, Czech Republic, on September 13.  The winners are:

BayesFusion Best Student Paper Award given jointly to:

Irene Córdoba, Department of Artificial Intelligence Universidad Politécnica de Madrid, Spain, for the paper entitled A Partial Orthogonalization Method for Simulating Covariance and Concentration Graph Matrices, co-authored with Gherardo Varando, Concha Bielza and Pedro Larrañaga

Kari Rantanen, HIIT, Department of Computer Science, University of Helsinki, Finland, for the paper entitled Learning Optimal Causal Graphs with Exact Search, co-authored with Antti Hyttinen and Matti Järvisalo

Honorable Mentions:
Gherardo Varando, Department of Artificial Intelligence Universidad Politécnica de Madrid, Spain, and Department of Mathematical Sciences, University of Copenhagen, Denmark, for being a student co-author of the paper that won the BayesFusion Best Student Paper Award, entitled A Partial Orthogonalization Method for Simulating Covariance and Concentration Graph Matrices, with Irene Córdoba, Concha Bielza and Pedro Larrañaga

Janne Leppä-aho, University of Helsinki, Department of Computer Science / HIIT, Finland, for the paper entitled Learning Non-parametric Markov Networks with Mutual Information, co-authored with Santeri Räisänen, Xiao Yang and Teemu Roos

BayesFusion releases an interactive model repository that allows users to open models and work with them using any web browser.  The user can set evidence (or a decision in influence diagrams) and observe the impact of this observation on the rest of the model.  Models in the repository are divided into small Bayesian networks, large Bayesian networks, hybrid Bayesian networks, and influence diagrams.  Each of the repository models can be downloaded in order to be used locally through GeNIe.

EMDS logo

BayesFusion, LLC, has joined the Ecosystem Management Decision Support (EMDS) development group, also known as the EMDS Consortium.  The EMDS system is an application development framework for knowledge-based decision support of ecological analysis and planning at any geographic scale.  EMDS integrates state-of-the-art geographic information system (GIS) as well as logic programming and decision modeling technologies on multiple platforms (Windows, Linux, Mac OS X) to provide decision support for a substantial portion of the adaptive management process of ecosystem management.  More information about the EMDS system can be found at the following location and the following Wikipedia article.

Cathedral of Learning

BayesFusion, LLC, has acquired an exclusive license for the decision modeling software GeNIe and SMILE from the University of Pittsburgh. The software was developed by the Decision Systems Laboratory between the years of 1994 and 2015. Members of BayesFusion, LLC, team, Marek Druzdzel and Tomek Sowinski, were directly involved in the development of the software.

Start

BayesFusion, LLC, has been formally registered with the State of Pennsylvania today.​