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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Hierarchical classifierLeast squaresLinear equationLinear system
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Statistical classification

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Highly Cited
2007
Highly Cited
2007
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
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
Fast Sparse Approximation for Least Squares Support Vector Machine
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
Benchmarking Least Squares Support Vector Machine Classifiers
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
Fuzzy least squares support vector machines for multiclass problems
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
Weighted least squares support vector machines: robustness and sparse approximation
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
Financial time series prediction using least squares support vector machines within the evidence framework
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
Optimal control by least squares support vector machines
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
Sparse least squares Support Vector Machine classifiers
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
Least Squares Support Vector Machine Classifiers
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
Least squares support vector machine classifiers: a large scale algorithm
Support vector machines (SVM's) have been introduced in literature as a method for pattern recognition and function estimation… (More)
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