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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… Expand
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Papers overview

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Highly Cited
2005
Highly Cited
2005
Support vector machine (SVM) soft margin classifiers are important learning algorithms for classification problems. They can be… Expand
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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… Expand
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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… Expand
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Highly Cited
2004
Highly Cited
2004
In this paper, we address the problem of statistical learning for multi-topic text categorization (MTC), whose goal is to choose… Expand
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Highly Cited
2004
Highly Cited
2004
We describe a new incremental algorithm for training linear threshold functions: the Relaxed Online Maximum Margin Algorithm, or… Expand
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Highly Cited
2000
Highly Cited
2000
We present a unifying framework for studying the solution of multiclass categorization problems by reducing them to multiple… Expand
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Highly Cited
2000
Highly Cited
2000
The active selection of instances can significantly improve the generalisation performance of a learning machine. Large margin… 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
1998
Highly Cited
1998
Subducted sediments play an important role in arc magmatism and crust-mantle recycling. Models of continental growth, continental… Expand
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