Support vector machine

Known as: SVC, Svm (learning), Support Vector Machines 
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms… (More)
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Highly Cited
2004
Highly Cited
2004
An admissible support vector (SV) kernel (the wavelet kernel), by which we can construct a wavelet support vector machine (SVM… (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
2001
Highly Cited
2001
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine… (More)
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Highly Cited
2001
Highly Cited
2001
Instead of a standard support vector machine (SVM) that classifies points by assigning them to one of two disjoint half-spaces… (More)
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Highly Cited
2001
Highly Cited
2001
An implicit Lagrangian for the dual of a simple reformulation of the standard quadratic program of a linear support vector… (More)
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Highly Cited
2001
Highly Cited
2001
Abstract An algorithm is proposed which generates a nonlinear kernel-based separating surface that requires as little as 1% of a… (More)
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Highly Cited
2000
Highly Cited
2000
This chapter describes a new algorithm for training Support Vector Machines: Sequential Minimal Optimization, or SMO. Training a… (More)
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Highly Cited
2000
Highly Cited
2000
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments… (More)
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Highly Cited
1997
Highly Cited
1997
We investigate the application of Support Vector Machines (SVMs) in computer vision. SVM is a learning technique developed by V… (More)
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Highly Cited
1995
Highly Cited
1995
The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements… (More)
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