Most probable explanation for MetaProbLog and its application in heart sound segmentation

• Type: Article in International Conference Proceedings Book
• Date: 2015

Authors

Mantadelis, T (Author) FCUP; Oliveira, J (Author) Other; Coimbra, M (Author) FCUP

Conference proceedings International

Title: CEUR Workshop Proceedings

Pages: 39-45

31st International Conference on Logic Programming, ICLP 2015

31 August 2015 through 4 September 2015

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00G-JWA

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific