Unsupervised active learning techniques for labeling training sets: An experimental evaluation on sequential data
Vinícius M. A. Souza, Rafael Geraldeli Rossi, Gustavo E. A. P. A. Batista, Solange Oliveira Rezende · Intelligent Data Analysis · 2017
Many real-world applications, such as those related to sensors, allow collecting large amounts of inexpensive unlabeled sequential data. However, the use of supervised machine learning methods is frequently hindered by the high costs involved in gath