Active Learning Query Strategies for Classification, Regression, and Clustering: A Survey

Generally, data is available abundantly in unlabeled form, and its annotation requires some cost. The labeling, as well as learning cost, can be minimized by learning with the minimum labeled data instances. Active learning (AL), learns from a few labeled data instances with the additional facility...

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Bibliographic Details
Published in:	Journal of computer science and technology Vol. 35; no. 4; pp. 913 - 945
Main Authors:	Kumar, Punit, Gupta, Atul
Format:	Journal Article
Language:	English
Published:	Singapore Springer Singapore 01.07.2020 Springer Springer Nature B.V Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, Madhya Pradesh 482005, India
Subjects:	Active learning Annotations Artificial Intelligence Classification Clustering Computational linguistics Computer Science Data Structures and Information Theory Deep learning Information Systems Applications (incl.Internet) Labels Language processing Mathematical analysis Natural language interfaces Numerical analysis Queries Software Engineering Survey Surveys Theory of Computation deep active learning active regression active learning active classification active learning query strategy active clustering
ISSN:	1000-9000, 1860-4749
Online Access:	Get full text
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