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… (More)
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Highly Cited
2012
Highly Cited
2012
Structured learning with inexact inference is a fundamental problem. We propose variants of the structured perceptron algorithm… (More)
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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… (More)
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Highly Cited
2005
Highly Cited
2005
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 2 ) labels to learn linear separators… (More)
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Highly Cited
2005
Highly Cited
2005
This work is inspired by the so-called reranking tasks in natural language processing. In this paper, we first study the ranking… (More)
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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… (More)
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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… (More)
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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 elds… (More)
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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… (More)
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Highly Cited
1992
Highly Cited
1992
The thermal perceptron is a simple extension to Rosenblatt's perceptron learning rule for training individual linear threshold… (More)
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Highly Cited
1990
Highly Cited
1990
A key task for connectionist research is the development and analysis of learning algorithms. An examination is made of several… (More)
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