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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Piecewise linear classifiers with an appropriate number of hyperplanes
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Piecewise linear classifiers with an appropriate number of hyperplanes

机译:具有适当数量的超平面的分段线性分类器

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摘要

A new method to construct a piecewise linear classifier is proposed. This method selects an appropriate number of hyperplanes of a piecewise linear classifier by MDL (Minimum Description Length) criterion. This method constructs the hyperplanes so as to keep the local error rate for a training set under a threshold. The threshold is determined automatically by the MDL criterion so as to avoid overfitting of the classifier to the training set. This method showed results better than those of a previous method in some experiments. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 14]
机译:提出了一种构建分段线性分类器的新方法。此方法通过MDL(最小描述长度)准则选择适当数量的分段线性分类器的超平面。该方法构造超平面,以便将训练集的局部错误率保持在阈值以下。该阈值由MDL标准自动确定,以避免分类器过度适合训练集。在某些实验中,该方法显示出比以前方法更好的结果。 (C)1998模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:14]

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