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Competitive learning

Competitive learning is a form of unsupervised learning in artificial neural networks, in which nodes compete for the right to respond to a subset of… 
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Related topics

Related topics

11 relations
Artificial intelligenceCluster analysisEncog Machine Learning FrameworkEnsemble learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
A new approach for multimodel identification of complex systems based on both neural and fuzzy clustering algorithms
2010
2010
Street fighter IV: braggadocio off and on-line
In its heyday, the video arcade was a social scene to prove one's video gaming prowess. The introduction of a revolutionary head… 
2008
2008
Relational-Cultural Practice: Working in a Nonrelational World
SUMMARY While more and more clinicians are practicing a relational-cultural approach to therapy, many work in settings that… 
Highly Cited
2007
Highly Cited
2007
A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving
2006
2006
A new feature extractor invariant to intensity, rotation, and scaling of color images
2006
2006
Active and cooperative learning: further tips and tricks (part 3)
Active and cooperative learning can energize the instructor, students, and the classroom. This third article in a series on… 
2004
2004
From mind in the mouth to language in the mind Language in Mind edited by D. Gentner and S. Goldin-Meadow, MIT Press, 2003. £22.95 (522 pages) ISBN 0 262 57163 3
Highly Cited
2001
Highly Cited
2001
Stochastic Neural Computation II: Soft Competitive Learning
For pt. I see ibid., p.891-905. An investigation has been made into the use of stochastic arithmetic to implement an artificial… 
1996
1996
Adaptive resonance theory based neural network for supervised chemical pattern recognition (FuzzyARTMAP) Part 2: Classification of post-consumer plastics by remote NIR spectroscopy using an InGaAs…
1996
1996
A network model for the optic flow computation of the MST neurons
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