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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 classification
Formal concept analysis
Inductive logic programming
Rough set
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2008
2008
Bayes Machines for binary classification
D. Hernández-Lobato
,
José Miguel Hernández-Lobato
Pattern Recognition Letters
2008
Corpus ID: 39625398
2008
2008
Bipolar version space learning
H. Prade
,
M. Serrurier
International Journal of Intelligent Systems
2008
Corpus ID: 21724426
Bipolarity appears in information processing when positive and negative sides of what is specified are clearly distinct, but not…
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2006
2006
Version Space Learning for Possibilistic Hypotheses
H. Prade
,
M. Serrurier
European Conference on Artificial Intelligence
2006
Corpus ID: 32067406
In this paper, we are interested in learning stratified hypotheses from examples and counter-examples associated with weights…
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Review
2006
Review
2006
Bipolar Representations in Reasoning, Knowledge Extraction and Decision Processes
D. Dubois
,
H. Prade
International Conference on Rough Sets and…
2006
Corpus ID: 16711682
This paper surveys various areas in information engineering where an explicit handling of positive and negative sides of…
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2004
2004
A version space approach to learning context-free grammars
K. VanLehn
,
William Ball
Machine-mediated learning
2004
Corpus ID: 8636034
In principle, the version space approach can be applied to any induction problem. However, in some cases the representation…
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2003
2003
Extracting semantics from data cubes using cube transversals and closures
Alain Casali
,
R. Cicchetti
,
L. Lakhal
Knowledge Discovery and Data Mining
2003
Corpus ID: 16716932
In this paper we propose a lattice-based approach intended for extracting semantics from datacubes: borders of version spaces for…
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2002
2002
Version Space Learning with DNA Molecules
Hee-Woong Lim
,
Jihye Yun
,
Hae-Man Jang
,
Young-Gyu Chai
,
S. Yoo
,
Byoung-Tak Zhang
DNA
2002
Corpus ID: 8468614
Version space is used in inductive concept learning to represent the hypothesis space where the goal concept is expressed as a…
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2000
2000
Nonweak/Strong Solutions of Linear and Nonlinear Hyperbolic and Parabolic Equations Resulting from a Single Conservation Law
K. Surana
,
M. Bona
International Journal of Computational…
2000
Corpus ID: 12193260
This paper presents an investigation of the numerical computations of nonweak/strong solutions of linear and nonlinear hyperbolic…
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1997
1997
Change management needs integrated process and configuration management
Gregor Joeris
ESEC '97/FSE-5
1997
Corpus ID: 15664226
Change management is a core problem of software development. Management of changes means managing the process of change as well…
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1983
1983
Adjusting Bias in Concept Learning
P. Utgoff
International Joint Conference on Artificial…
1983
Corpus ID: 16512088
We approach concept learning as a heuristic search through a space of concepts for a concept that satisfies the learning task at…
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