A survey on active learning strategy
Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for efficiently reducing the sample complexity. This paper presents a brief survey of active learning regarding selection methods, query strategies, appl...
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Published in | 2010 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 161 - 166 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.07.2010
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Subjects | |
Online Access | Get full text |
ISBN | 9781424465262 1424465265 |
ISSN | 2160-133X |
DOI | 10.1109/ICMLC.2010.5581075 |
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Abstract | Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for efficiently reducing the sample complexity. This paper presents a brief survey of active learning regarding selection methods, query strategies, applications and other related works. |
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AbstractList | Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for efficiently reducing the sample complexity. This paper presents a brief survey of active learning regarding selection methods, query strategies, applications and other related works. |
Author | Li-Li Sun Xi-Zhao Wang |
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Snippet | Active learning is a hot topic in machine learning field. The main task of active learning is to automatically select the representative instances for... |
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SubjectTerms | Active learning Classification algorithms Complexity theory Learning systems Machine learning Query strategy Selective sampling Support vector machines Training Uncertainty |
Title | A survey on active learning strategy |
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