Active semi-supervised learning for biological data classification

• Published in: PloS one Vol. 15; no. 8; p. e0237428
• Main Authors: Camargo, Guilherme, Bugatti, Pedro H, Saito, Priscila T M
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 19.08.2020; Public Library of Science (PLoS)
• Subjects: Active learning; Annotations; Biological research; Biology and Life Sciences; Classification; Classifiers; Computer and Information Sciences; Computer applications; Context; Data Management - methods; Datasets; E coli; Learning; Machine learning; Medicine and Health Sciences; Methods; Research and Analysis Methods; Semi-supervised learning; Social Sciences; Supervised Machine Learning; Technology application; Tradeoffs; Brazil

Due to datasets have continuously grown, efforts have been performed in the attempt to solve the problem related to the large amount of unlabeled data in disproportion to the scarcity of labeled data. Another important issue is related to the trade-off between the difficulty in obtaining annotations...