Version space learning

Known as: Candidate elimination, Version Space, Version spaces 
Version space learning is a logical approach to machine learning, specifically binary classification. Version space learning algorithms search a… (More)
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2008
2008
Bipolarity appears in information processing when positive and negative sides of what is specified are clearly distinct, but not… (More)
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Highly Cited
2003
Highly Cited
2003
Programming by demonstration enables users to easily personalize their applications, automating repetitive tasks simply by… (More)
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2002
2002
Version space is used in inductive concept learning to represent the hypothesis space where the goal concept is expressed as a… (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
2000
Highly Cited
2000
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However… (More)
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1999
1999
Inspired with Version Space learning the Iterated Version Space Algorithm IVSA has been designed and implemented to learn… (More)
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1997
1997
This paper generalizes the learning strategy of version space to manage noisy and uncertain training data. A new learning… (More)
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1996
1996
This paper presents an incremental concept learning approach to identi ̄cation of concepts with high overall accuracy. The main… (More)
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Highly Cited
1977
Highly Cited
1977
* An important research problem in artificial intelligence is the study of methods for learning general concepts or rules from a… (More)
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