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)
Wikipedia

Related topics

Related topics

7 relations
Binary classificationFormal concept analysisInductive logic programmingRough set
(More)

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Bipolar version space learning
Bipolarity appears in information processing when positive and negative sides of what is specified are clearly distinct, but not… (More)
Is this relevant?
Highly Cited
2003
Highly Cited
2003
Programming by Demonstration Using Version Space Algebra
Programming by demonstration enables users to easily personalize their applications, automating repetitive tasks simply by… (More)
  • table I
  • figure 3
  • figure 4
  • figure 5
  • table II
Is this relevant?
2002
2002
Version Space Learning with DNA Molecules
Version space is used in inductive concept learning to represent the hypothesis space where the goal concept is expressed as a… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Support Vector Machine Active Learning with Applications to Text Classification
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2000
Highly Cited
2000
Version Space Algebra and its Application to Programming by Demonstration
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However… (More)
  • table 1
  • figure 1
  • figure 2
Is this relevant?
1999
1999
The Iterated Version Space Learning
Inspired with Version Space learning the Iterated Version Space Algorithm IVSA has been designed and implemented to learn… (More)
Is this relevant?
1997
1997
A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data
This paper generalizes the learning strategy of version space to manage noisy and uncertain training data. A new learning… (More)
  • figure 1
  • figure 2
  • figure 3
  • table 1
  • figure 4
Is this relevant?
1996
1996
Stochastically Guided Disjunctive Version Space Learning
This paper presents an incremental concept learning approach to identi ̄cation of concepts with high overall accuracy. The main… (More)
  • table 2
Is this relevant?
Highly Cited
1977
Highly Cited
1977
Version spaces: a candidate elimination approach to rule learning
* An important research problem in artificial intelligence is the study of methods for learning general concepts or rules from a… (More)
  • figure 1
Is this relevant?