Active learning (machine learning)

Known as: Pool-based active learning 
Active learning is a special case of semi-supervised machine learning in which a learning algorithm is able to interactively query the user (or some… (More)
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Papers overview

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Highly Cited
2010
Highly Cited
2010
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation… (More)
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Highly Cited
2006
Highly Cited
2006
Searching and organizing growing digital music collections requires a computational model of music similarity. This paper… (More)
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Highly Cited
2006
Highly Cited
2006
The goal of active learning is to select the most informative examples for manual labeling. Most of the previous studies in… (More)
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Highly Cited
2004
Highly Cited
2004
The paper is concerned with two-class active learning. While the common approach for collecting data in active learning is to… (More)
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Highly Cited
2003
Highly Cited
2003
This paper is concerned with the question of how to online combine an ensemble of active learners so as to expedite the learning… (More)
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Highly Cited
2001
Highly Cited
2001
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine… (More)
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Highly Cited
2001
Highly Cited
2001
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other… (More)
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Highly Cited
1999
Highly Cited
1999
In natural language acquisition, it is difficult to gather the annotated data needed for supervised learning; however… (More)
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Highly Cited
1998
Highly Cited
1998
This paper shows how a text classifier’s need for labeled training documents can be reduced by taking advantage of a large pool… (More)
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Highly Cited
1994
Highly Cited
1994
Active learning differs from “learning from examples” in that the learning algorithm assumes at least some control over what part… (More)
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