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Winner-take-all (computing)

Winner-take-all is a computational principle applied in computational models of neural networks by which neurons in a layer compete with each other… Expand
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Related topics

Related topics

10 relations
Artificial neural networkCMOSCompetitive learningLeabra
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Computational Tradeoffs in Biological Neural Networks: Self-Stabilizing Winner-Take-All Networks
We initiate a line of investigation into biological neural networks from an algorithmic perspective. We develop a simplified but… Expand
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Highly Cited
2010
Highly Cited
2010
A network perspective of the stock market
Complex networks are constructed to study correlations between the closing prices for all US stocks that were traded over two… Expand
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Highly Cited
2006
Highly Cited
2006
Reconsideration of the Winner-Take-All Hypothesis: Complex Networks and Local Bias
The literature on network effects has popularized a hypothesis that competition between incompatible technologies results in the… Expand
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Highly Cited
2005
Highly Cited
2005
Which Is the Best Multiclass SVM Method? An Empirical Study
Multiclass SVMs are usually implemented by combining several two-class SVMs. The one-versus-all method using winner-takes-all… Expand
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Highly Cited
2002
Highly Cited
2002
Multiclassifier Systems: Back to the Future
While a variety of multiple classifier systems have been studied since at least the late 1950's, this area came alive in the 90's… Expand
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Highly Cited
2001
Highly Cited
2001
The Provision of Public Goods under Alternative Electoral Incentives
Politicians who care about the spoils of office may underprovide a public good because its benefits cannot be targeted to voters… Expand
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Highly Cited
2001
Highly Cited
2001
Designing Optimal Sales Contests: A Theoretical Perspective
Sales contests are commonly used by firms as a short-term motivational device to increase salespeople's efforts. Conceptually… Expand
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Highly Cited
1999
Highly Cited
1999
Privatization and Corporate Governance: The Lessons from Securities Market Failure
This paper analyzes the comparative experiences of Poland and the Czech Republic with voucher privatization. Because of a number… Expand
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Highly Cited
1996
Highly Cited
1996
Network constraints and multi-objective optimization for one-class classification
Abstract This paper introduces a constrained second-order network with a multiple objective learning algorithm that forms closed… Expand
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Highly Cited
1993
Highly Cited
1993
A high-precision VLSI winner-take-all circuit for self-organizing neural networks
The design and implementation of a high-precision VLSI winner-take-all (WTA) circuit that can be arranged to process 1024 inputs… Expand
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