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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 in the formulation, the solution follows from solving a set of linearExpand
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Least Squares Support Vector Machines
Support Vector Machines Basic Methods of Least Squares Support Vector Machines Bayesian Inference for LS-SVM Models Robustness Large Scale Problems LS-SVM for Unsupervised Learning LS-SVM forExpand
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Weighted least squares support vector machines: robustness and sparse approximation
Abstract Least squares support vector machines (LS-SVM) is an SVM version which involves equality instead of inequality constraints and works with a least squares cost function. In this way, theExpand
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Benchmarking state-of-the-art classification algorithms for credit scoring
In this paper, we study the performance of various state-of-the-art classification algorithms applied to eight real-life credit scoring data sets. Some of the data sets originate from major BeneluxExpand
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Benchmarking Least Squares Support Vector Machine Classifiers
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a (convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least SquaresExpand
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Sparse approximation using least squares support vector machines
In least squares support vector machines (LS-SVMs) for function estimation Vapnik's /spl epsiv/-insensitive loss function has been replaced by a cost function which corresponds to a form of ridgeExpand
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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, within the framework of statistical learning theory and structural riskExpand
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Master-Slave Synchronization of Lur'e Systems with Time-Delay
In this paper time-delay effects on the master–slave synchronization scheme are investigated. Sufficient conditions for master–slave synchronization of Lur'e systems are presented for a knownExpand
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Coupled Simulated Annealing
We present a new class of methods for the global optimization of continuous variables based on simulated annealing (SA). The coupled SA (CSA) class is characterized by a set of parallel SA processesExpand
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