Multiclass classification

Known as: Multiclass labeling, Multi-class categorization, Multiclass classifier 
In machine learning, multiclass or multinomial classification is the problem of classifying instances into one of the more than two classes… (More)
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Papers overview

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Highly Cited
2012
Highly Cited
2012
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine… (More)
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Highly Cited
2012
Highly Cited
2012
This paper presents a framework of discriminative least squares regression (LSR) for multiclass classification and feature… (More)
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Highly Cited
2007
Highly Cited
2007
This paper suggests a method for multiclass learning with many classes by simultaneously learning shared characteristics common… (More)
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Highly Cited
2004
Highly Cited
2004
This paper addresses the problem of the classification of hyperspectral remote sensing images by support vector machines (SVMs… (More)
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Highly Cited
2004
Highly Cited
2004
Summary: This paper studies the problem of building multiclass classifiers for tissue classification based on gene expression… (More)
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Highly Cited
2004
Highly Cited
2004
Support vector machines (SVMs) have considerable potential as classifiers of remotely sensed data. A constraint on their… (More)
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Highly Cited
2002
Highly Cited
2002
Support vector machines (SVMs) were originally designed for binary classification. How to effectively extend it for multiclass… (More)
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Highly Cited
2002
Highly Cited
2002
The constraint classification framework captures many flavors of multiclass classification including winner-take-all multiclass… (More)
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Highly Cited
2002
Highly Cited
2002
We introduce constraint classification, a framework capturing many flavors of multiclass classification including multilabel… (More)
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Highly Cited
1999
Highly Cited
1999
We present a new learning architecture: the Decision Direct ed Acyclic Graph (DDAG), which is used to combine many two-class… (More)
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