An Improved Self-Training Method for Positive Unlabeled Time Series Classification Using DTW Barycenter Averaging

Traditional supervised time series classification (TSC) tasks assume that all training data are labeled. However, in practice, manually labelling all unlabeled data could be very time-consuming and often requires the participation of skilled domain experts. In this paper, we concern with the positiv...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Jing Li, Haowen Zhang, Yabo Dong, Tongbin Zuo, Duanqing Xu
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
Accès en ligne:https://doaj.org/article/8e7f01c330cb45f9aa4fc325ef7b54b0
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!