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Perceptron

Known as: Perceptron algorithm, Perceptron learning algorithm, Threshold neuron 
In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers (functions that can decide whether an input… Expand
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Papers overview

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Review
2018
Review
2018
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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Review
2016
Review
2016
Machine learning techniques are applied for solving a large variety of practical problems. The tasks attacked by machine learning… Expand
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Highly Cited
2010
Highly Cited
2010
Perceptron training is widely applied in the natural language processing community for learning complex structured models. Like… Expand
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Highly Cited
2004
Highly Cited
2004
This paper describes an incremental parsing approach where parameters are estimated using a variant of the perceptron algorithm… Expand
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Highly Cited
2002
Highly Cited
2002
We describe new algorithms for training tagging models, as an alternative to maximum-entropy models or conditional random fields… Expand
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Highly Cited
2002
Highly Cited
2002
This paper introduces new learning algorithms for natural language processing based on the perceptron algorithm. We show how the… Expand
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Highly Cited
1998
Highly Cited
1998
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt‘s perceptron algorithm with Helmbold… Expand
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Highly Cited
1998
Highly Cited
1998
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold… Expand
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Highly Cited
1988
Highly Cited
1988
  • B. Irie, S. Miyake
  • IEEE International Conference on Neural Networks
  • 1988
  • Corpus ID: 15092998
A theorem is proved to the effect that three-layered perceptrons with an infinite number of computing units can represent… Expand
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Highly Cited
1969
Highly Cited
1969
Cambridge, Mass.: MIT Press, 1972. 2nd. ed. The book's aim is to seek general results from the close study of abstract version of… Expand
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