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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… Expand
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Papers overview

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Highly Cited
2017
Highly Cited
2017
Even though active learning forms an important pillar of machine learning, deep learning tools are not prevalent within it. Deep… Expand
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Highly Cited
2010
Highly Cited
2010
  • D. Cohn
  • Encyclopedia of Machine Learning
  • 2010
  • Corpus ID: 30334806
Active learning is generally defined as any instructional method that engages students in the learning process. In short, active… Expand
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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… Expand
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Highly Cited
2009
Highly Cited
2009
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train… Expand
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Highly Cited
2007
Highly Cited
2007
This paper is concerned with the class imbalance problem which has been known to hinder the learning performance of… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
In this paper, we describe active and semi-supervised learning methods for reducing the labeling effort for spoken language… Expand
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Highly Cited
2004
Highly Cited
2004
Active learning differs from “learning from examples” in that the learning algorithm assumes at least some control over what part… Expand
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Highly Cited
2004
Highly Cited
2004
Active learning has been applied with support vector machines to reduce the data labeling effort in pattern recognition domains… Expand
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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… Expand
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