Least squares support vector machine

Least squares support vector machines (LS-SVM) are least squares versions of support vector machines (SVM), which are a set of related supervised… (More)
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Highly Cited
2007
Highly Cited
2007
Given n training examples, the training of a least squares support vector machine (LS-SVM) or kernel ridge regression (KRR… (More)
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Highly Cited
2007
Highly Cited
2007
In this paper, we present two fast sparse approximation schemes for least squares support vector machine (LS-SVM), named FSALS… (More)
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Highly Cited
2004
Highly Cited
2004
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic… (More)
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Highly Cited
2003
Highly Cited
2003
In least squares support vector machines (LS-SVMs), the optimal separating hyperplane is obtained by solving a set of linear… (More)
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Highly Cited
2002
Highly Cited
2002
Least squares support vector machines (LS-SVM) is an SVM version which involves equality instead of inequality constraints and… (More)
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Highly Cited
2001
Highly Cited
2001
The Bayesian evidence framework is applied in this paper to least squares support vector machine (LS-SVM) regression in order to… (More)
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Highly Cited
2001
Highly Cited
2001
Support vector machines have been very successful in pattern recognition and function estimation problems. In this paper we… (More)
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Highly Cited
2000
Highly Cited
2000
In least squares support vector machine (LS-SVM) classi-ers the original SVM formulation of Vapnik is modiied by considering… (More)
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Highly Cited
1999
Highly Cited
1999
In this letter we discuss a least squares version for support vector machine (SVM) classifiers. Due to equality type constraints… (More)
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Highly Cited
1999
Highly Cited
1999
Support vector machines (SVM's) have been introduced in literature as a method for pattern recognition and function estimation… (More)
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