TY - CONF A1 - Schön, Torsten A1 - Stetter, Martin A1 - Tomé, Ana Maria A1 - Lang, Elmar W. A2 - Alvarez, Sergio A. A2 - Solé-Casals, Jordi A2 - Fred, Ana A2 - Gamboa, Hugo T1 - A New Physarum Learner for Network Structure Learning from Biomedical Data BT - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing BIOSTEC N2 - A novel structure learning algorithm for Bayesian Networks based on a Physarum Learner is presented. The length of the connections within an initially fully connected Physarum-Maze is taken as the inverse Pearson correlation coefficient between the connected nodes. The Physarum Learner then estimates the shortest indirect paths between each pair of nodes. In each iteration, a score of the surviving edges is incremented. Finally, the highest scored connections are combined to form a Bayesian Network. The novel Physarum Learner method is evaluated with different configurations and compared to the LAGD Hill Climber showing comparable performance with respect to quality of training results and increased time efficiency for large data sets. Y1 - 2013 UR - https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/4803 UR - https://doi.org/10.5220/0004227401510156 UR - https://nbn-resolving.org/urn:nbn:de:bvb:573-48033 SN - 978-989-8565-36-5 SP - 151 EP - 156 PB - SciTePress CY - Setúbal ER -