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A new classification method is proposed, called Support Hy- perplanes (SHs). To solve the binary classification task …, SHs consider the set of all hyperplanes that do not make classification mistakes, referred to as semi …
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Since their introduction Kernel Methods have proven their superior performance in many different application areas. Recently these algorithms have also been employed for different tasks in the area of finance. In this contribution we present an introduction to the methodology and give an...
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In this paper we present a new kernel, the Railway Kernel, that works properly for general (nonlinear) classification …
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As an extension of multi-class classification, machine learning algorithms have been proposed that are able to deal … membership to several classes. In a similar setting, models are developed here for classification problems where an order …
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In nonparametric function estimation, the inclusion of shape constraints can confer several advantages, including improved estimation accuracy, reduced sensitivity to smoothing parameters, and control over the qualitative appearance of the estimate. Finding shape-restricted estimates may require...
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