Please use this identifier to cite or link to this item:
|Title:||Most probable explanation for MetaProbLog and its application in heart sound segmentation|
|Abstract:||This paper, presents ongoing work that extends MetaProbLog with Most Probable Explanation (MPE) inference method. The MPE inference method is widely used in Hidden Markov Models in order to derive the most likely states of a model. Recently, we started developing an application that uses MetaProbLog to models phonocardiograms. We target to use this application in order to diagnose heart diseases by using phonocardiogram classification. Motivated by the importance of phonocardiogram classification, we started the implementation of the MPE inference method and an improvement of representation for annotated disjunctions.|
|Appears in Collections:||CRACS - Articles in International Conferences|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.