Concept learning

Known as: Category learning, Concept Formation, Concept-formation 
Concept learning, also known as category learning, concept attainment, and concept formation, is largely based on the works of the cognitive… (More)
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ACT-RCategorizationCategory utilityConceptual system
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Machine learning

Papers overview

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Highly Cited
2000
Highly Cited
2000
Types of Cost in Inductive Concept Learning
Inductive concept learning is the task of learning to assign cases to a discrete set of classes. In real-world applications of… (More)
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Highly Cited
2000
Highly Cited
2000
Minimization of Boolean complexity in human concept learning
One of the unsolved problems in the field of human concept learning concerns the factors that determine the subjective difficulty… (More)
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Highly Cited
1998
Highly Cited
1998
Bayesian Modeling of Human Concept Learning
I consider the problem of learning concepts from small numbers of positive examples, a feat which humans perform routinely but… (More)
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Highly Cited
1997
Highly Cited
1997
Logical Settings for Concept-Learning
Three different forrnalizations of concept-learning in logic (as well as some variants) are analyzed and related. It is shown… (More)
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Highly Cited
1994
Highly Cited
1994
Improving generalization with active learning
Active learning differs from “learning from examples” in that the learning algorithm assumes at least some control over what part… (More)
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Highly Cited
1993
Highly Cited
1993
Using Genetic Algorithms for Concept Learning
In this article, we explore the use of genetic algorithms (GAs) as a key element in the design and implementation of robust… (More)
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Highly Cited
1991
Highly Cited
1991
Learning Concept Classification Rules Using Genetic Algorithms
In this paper we explore the use of an adaptive search technique (genetic algorithms) to construct a system GABEL which… (More)
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Highly Cited
1990
Highly Cited
1990
Concept Learning and Heuristic Classification in WeakTtheory Domains
This paper describes a successful approach to concept learning for heuristic classi cation. Almost all current programs for this… (More)
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Highly Cited
1988
Highly Cited
1988
Quantifying Inductive Bias: AI Learning Algorithms and Valiant's Learning Framework
We show that the notion of inductive bias in concept learning can be quantified in a way that directl_v relates to learning… (More)
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Highly Cited
1987
Highly Cited
1987
Queries and concept learning
We consider the problem of using queries to learn an unknown concept. Several types of queries are described and studied… (More)
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