Margin classifier

In machine learning, a margin classifier is a classifier which is able to give an associated distance from the decision boundary for each example… (More)
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Topic mentions per year

Topic mentions per year

1940-2017
010203019402016

Papers overview

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2013
2013
We introduce a large margin linear binary classification framework that approximates each class with a hyperdisk – the… (More)
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Highly Cited
2011
Highly Cited
2011
Following the success of hashing methods for multidimensional indexing, more and more works are interested in embedding visual… (More)
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2011
2011
Support vector machine (SVM), as one of the most popular classifiers, aims to find a hyperplane that can separate two classes of… (More)
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Highly Cited
2006
Highly Cited
2006
In this paper, motivated by large margin classifiers in machine learning, we propose a novel method to estimate continuous… (More)
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Highly Cited
2005
Highly Cited
2005
Support vector machine soft margin classifiers are important learning algorithms for classification problems. They can be stated… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper we study boosting methods from a new perspective. We build on recent work by Efron et al. to show that boosting… (More)
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Highly Cited
2004
Highly Cited
2004
The purpose of this paper is to provide a PAC error analysis for the q-norm soft margin classifier, a support vector machine… (More)
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2004
2004
A new large margin classifier, named Maxi-Min Margin Machine (M4) is proposed in this paper. This new classifier is constructed… (More)
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2003
2003
A simple learning algorithm for maximal margin classi"ers (also support vector machines with quadratic cost function) is proposed… (More)
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2001
2001
Large margin classifiers (such as MLPs) are designed to assign training samples with high confidence (or margin) to one of the… (More)
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