A Taxonomy of Interactive Online Machine Learning Strategies

• Published in: Machine Learning and Knowledge Discovery in Databases Vol. 12458; pp. 137 - 153
• Main Authors: Tegen, Agnes, Davidsson, Paul, Persson, Jan A.
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Switzerland Springer International Publishing AG 2021; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Active learning; Interactive machine learning; machine teaching; Online learning; streaming data

In interactive machine learning, human users and learning algorithms work together in order to solve challenging learning problems, e.g. with limited or no annotated data or trust issues. As annotating data can be costly, it is important to minimize the amount of annotated data needed for training w...