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…

Papers overview

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2014

— Clusters of Microcalcifications (MCCs) are most frequent symptoms of Ductal Carcinoma in Situ (DCIS) recognized by mammography…

2012

Due to the dual trends of monthly load,i.e.,the increasing and fluctuation,its variation is indicative of the feature of complex…

2010

Support vector machine(SVM) is a kind of novel machine learning methods based on statistical learning theory. It is widely used…

2010

Least squares support vector machine(LS-SVM) is computationally more efficient than the standard SVM,but unfortunately the…

2008

Here we propose a novel machine learning method for time series forecasting which is based on the widely-used Least Squares…

2007

Sparse least squares support vector machine(SLS-SVM) was proposed to resolve the problems of regression and classification of…

2007

An algorithm for grid load forecasting based on wavelet analysis and least squares support vector machine,was introduced.Begin…

2007

System identification is a fundamental topic of control theory, and LS-SVM has been applied to system identification. An online…

2006

Based on narrating the theory of least squares support vector machine (LS-SVM), dynamic LS-SVM (DLS-SVM) is presented in this…

2003

This paper presents a very simple digital architecture that implements a Least-Squares Support Vector Machine. The simplicity of…