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Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more
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• Disadvantages of classical neural nets• SVM properties and standard SVM classifier• Related kernelbased learning metho
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This book provides a unifying framework which can be used to apply many types of linear models used in applications to t
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Partial least squares (PLS) regression is, at its historical core, a black-box algorithmic method for dimension reductio
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In this tutorial we give an overview of the basic ideas underlying Support Vector (SV) machines for function estimation.
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The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This careful
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In recent years, the support vector machine (SVM), a new data processing method, has been applied to many fields of chem
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The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the fu
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