Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs

Benoît Frénay, Gaël de Lannoy, Michel Verleysen

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

Abstract

The performance of traditional classification models can adversely be impacted by the presence of label noise in training observations. The pioneer work of Lawrence and Schölkopf tackled this issue in datasets with independent observations by incorporating a statistical noise model within the inference algorithm. In this paper, the specific case of label noise in non-independent observations is rather considered. For this purpose, a label noise-tolerant expectation-maximisation algorithm is proposed in the frame of hidden Markov models. Experiments are carried on both healthy and pathological electrocardiogram signals with distinct types of additional artificial label noise. Results show that the proposed label noise-tolerant inference algorithm can improve the segmentation performances in the presence of label noise. © 2011 Springer-Verlag.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages455-470
Number of pages16
Volume6911 LNAI
EditionPART 1
DOIs
Publication statusPublished - 2011
Externally publishedYes
EventEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2011 - Athens, Greece
Duration: 5 Sep 20119 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6911 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

ConferenceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2011
CountryGreece
CityAthens
Period5/09/119/09/11

Keywords

  • electrocardiograms
  • expectation maximisation algorithm
  • hidden Markov models
  • label noise
  • segmentation

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  • Cite this

    Frénay, B., de Lannoy, G., & Verleysen, M. (2011). Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 1 ed., Vol. 6911 LNAI, pp. 455-470). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6911 LNAI, No. PART 1). https://doi.org/10.1007/978-3-642-23780-5_39