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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… 
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Related topics

Related topics

7 relations
Binary classificationFormal concept analysisInductive logic programmingRough set

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners
In real-world applications of education, an effective teacher adaptively chooses the next example to teach based on the learner’s… 
Highly Cited
2016
Highly Cited
2016
hp-Version Space-Time Discontinuous Galerkin Methods for Parabolic Problems on Prismatic Meshes
We present a new $hp$-version space-time discontinuous Galerkin (dG) finite element method for the numerical approximation of… 
2009
2009
Argumentation Based Constraint Acquisition
Efficient acquisition of constraint networks is a key factor for the applicability of constraint problem solving methods. Current… 
2006
2006
Acquiring Constraint Networks Using a SAT-based Version Space Algorithm
Constraint programming is a commonly used technology for solving complex combinatorial problems. However, users of this… 
Highly Cited
2002
Highly Cited
2002
A theory of inductive query answering
We introduce the Boolean inductive query evaluation problem, which is concerned with answering inductive queries that are… 
Highly Cited
2001
Highly Cited
2001
Conjunctive and Disjunctive Version Spaces with Instance-based Boundary Sets
1997
1997
Change management needs integrated process and configuration management
Change management is a core problem of software development. Management of changes means managing the process of change as well… 
1991
1991
The Description Identification Problem
Review
1991
Review
1991
On dynamically updating a computer program: From concept to prototype
Highly Cited
1987
Highly Cited
1987
Layered Concept-Learning and Dynamically Variable Bias Management
Concept learning is inherently complex. Without severe constraint or inductive "bias," the general problem is intractable. While… 
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