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首页> 外文期刊>Neural processing letters >Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression
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Constructing and Combining Orthogonal Projection Vectors for Ordinal Regression

机译：正交投影的正交投影向量的构建和组合

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摘要

Ordinal regression is to predict categories of ordinal scale and it has wide applications in many domains where the human evaluation plays a major role. So far several algorithms have been proposed to tackle ordinal regression problems from a machine learning perspective. However, most of these algorithms only seek one direction where the projected samples are well ranked. So a common shortcoming of these algorithms is that only one dimension in the sample space is used, which would definitely lose some useful information in its orthogonal subspaces. In this paper, we propose a novel ordinal regression strategy which consists of two stages: firstly orthogonal feature vectors are extracted and then these projector vectors are combined to learn an ordinal regression rule. Compared with previous ordinal regression methods, the proposed strategy can extract multiple features from the original data space. So the performance of ordinal regression could be improved because more information of the data is used. The experimental results on both benchmark and real datasets proves the performance of the proposed method.
机译：序数回归是用来预测序数规模的类别，它在许多领域中具有广泛的应用，而人类评价在其中发挥着重要作用。到目前为止，已经提出了几种从机器学习的角度解决序数回归问题的算法。但是，大多数这些算法仅在投影样本排序良好的情况下寻找一个方向。因此，这些算法的共同缺点是仅使用了样本空间中的一个维，这肯定会在其正交子空间中丢失一些有用的信息。在本文中，我们提出了一种新的序数回归策略，该策略包括两个阶段：首先提取正交特征向量，然后将这些投影仪向量组合以学习序数回归规则。与以前的序数回归方法相比，该策略可以从原始数据空间中提取多个特征。因此，由于使用了更多的数据信息，因此可以提高顺序回归的性能。在基准数据集和实际数据集上的实验结果证明了该方法的性能。

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  • 来源
    《Neural processing letters》 |2015年第1期|139-155|共17页
  • 作者

    Bing-Yu Sun; Hai-Lei Wang; Wen-Bo Li; Hui-Jing Wang; Jiuyong Li; Zhi-Qiang Du;

  • 作者单位

    Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, People's Republic of China;

    Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, People's Republic of China,The Department of Automation, University of Science and Technology of China, Hefei, People's Republic of China;

    Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, People's Republic of China;

    The Computer College, Shenzhen Institute of Information Technology, Shenzhen, Guangdong, People's Republic of China;

    The School of Computer and information Science, University of South Australia, Adelaide, Australia;

    The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, People's Republic of China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Ordinal regression; Linear discriminant analysis; Kernel discriminant analysis; Multiple feature combination;

    机译：序数回归线性判别分析;内核判别分析;多功能组合;

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