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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…
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Related topics
Related topics
17 relations
ACT-R
Categorization
Category utility
Conceptual system
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Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
The effects of talker variability and variances on incidental learning of lexical tones
Jiang Liu
,
Jie Zhang
2016
Corpus ID: 27334582
Multi-talker variability has been found to be very effective in the perception and production training of nonnative sound…
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2012
2012
Merge, Project, and Bundle
Peter Svenonius
2012
Corpus ID: 55405327
Chomsky has persuasively argued that there is a combinatory mechanism (which he calls Merge) which is central to the…
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Review
2009
Review
2009
Adaptive clustering Models of Categorisation
John V. McDonnell
,
T. Gureckis
2009
Corpus ID: 18989730
Numerous proposals have been put forward concerning the nature of human category representations, ranging from rules to exemplars…
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2008
2008
Euclidean ART Neural Networks
Riyadh Kenaya
,
K. Cheok
2008
Corpus ID: 16772496
Neural networks are known for their ability to cluster input vectors (patterns) into categories (neurons) based on a neighborhood…
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Review
2004
Review
2004
Factors affecting e-learning for achievement
Nian-Shing Chen
,
Kan-Min Lin
2004
Corpus ID: 17610971
E-learning is an essential trend in education for the 21st century. Because the nature of e-learning is different from the…
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1996
1996
Incremental category learning in a real world artifact using growing dynamic cell structures
C. Scheier
The European Symposium on Artificial Neural…
1996
Corpus ID: 36993213
1994
1994
Genetic Programming with Local Hill-Climbing
H. Iba
,
H. de Garis
,
Taisuke Sato
Parallel Problem Solving from Nature
1994
Corpus ID: 29018709
This paper proposes a new approach to Genetic Programming (GP). In traditional GP, recombination can cause frequent disruption of…
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1994
1994
A Neural Network Model APC-III and Its Application to Unconstrained Handwritten Digit Recognition
Y. Hwang
1994
Corpus ID: 18736220
Young-Sup Hwang and Sung-Yang Bang Depart. of Computer Science & Engineering Pohang University of Science and Technology Pohang…
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1993
1993
Inductive Inference of Prolog Programs with Linear Data Dependency from Positive Data
Hiroki Arimura
,
有村 博紀
,
Takeshi Shinohara
,
篠原 武
1993
Corpus ID: 18167129
In this paper, we study inductive inference of a subclass of Prolog programs from positive examples. The subclass, called…
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1991
1991
Concept Formation over Explanations and Problem-Solving Experience
Jungsoon P. Yoo
,
D. Fisher
International Joint Conference on Artificial…
1991
Corpus ID: 5426631
Recent research suggests the uti l i ty of performing induction over explanations. This process identifies commonalities across…
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