NDLI: Active learning for classification: An optimistic approach

Content Provider	IEEE Xplore Digital Library
Author	Collet, Timothe Pietquin, Olivier
Copyright Year	2014
Description	Author affiliation: University Lille 1, France LIFL (UMR 8022 CNRS / Lille 1), SequeL Team, France IUF (Institut Universitaire de France) (Pietquin, Olivier) \|\| Supelec, MaLIS Research group, France GeorgiaTech-CNRS UMI 2958, France (Collet, Timothe)
Abstract	In this paper, we propose to reformulate the active learning problem occurring in classification as a sequential decision making problem. We particularly focus on the problem of dynamically allocating a fixed budget of samples. This raises the problem of the trade off between exploration and exploitation which is traditionally addressed in the framework of the multi-armed bandits theory. Based on previous work on bandit theory applied to active learning for regression, we introduce four novel algorithms for solving the online allocation of the budget in a classification problem. Experiments on a generic classification problem demonstrate that these new algorithms compare positively to state-of-the-art methods.
Starting Page	1
Ending Page	8
File Size	418535
Page Count	8
File Format	PDF
ISBN	9781479945528
DOI	10.1109/ADPRL.2014.7010610
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Uncertainty Shape Noise Partitioning algorithms Resource management Noise measurement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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