| 一种小样本集可信向量机3S—CSVM |
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| 引用本文： | 崔庆丰,;霍国清,;皇甫一江,;高朝晖.一种小样本集可信向量机3S—CSVM[J].计算机与网络,2009(13):36-38. |
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| 作者姓名： | 崔庆丰 ;霍国清 ;皇甫一江 ;高朝晖 |
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| 作者单位： | [1]中国电子科技集团公司第五十四研究所,河北石家庄050081; [2]海军装备部,北京100841 |
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| 摘 要： | 利用支持向量机中的拉格朗日系数，从系数所表达的意义出发，根据Kolmogorov算法随机性理论，定义了可信度和可靠性，提出了一种小样本集可信向量机，该向量机在预测对象类别的同时，给出本次预测的可信程度和可靠性，丰富了支持向量机的输出信息。同时通过在预测的过程中有限增加训练集中的有用特征信息，提高了预测的准确率，在只有少量训练样本的情况下具有较好的性能。
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| 关 键 词： | 小样本集可信向量机 可信度 可靠性 随机性理论 |
A Small Sample Set Confidence Support Vector Machine 3S-CSVM |
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| Affiliation: | CUI Qing-feng, HUO Guo-qing, HUANGPU Yi-jiang, GAO Zhao-hui(1 The 54th Research Institute of CETC, Shijiazhuang Hebei 050081, China; 2 Naval Equipment Department, Beijing 100841, China) |
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| Abstract: | A small sample set confidence SVM is put forward based on Kolmogorov＇s algorithmic theory of randomness using the Lagrangian coefficients of support vector machine according to their physical meanings. The confidence and the credibility of prediction are subsequently defined. When predicting,this machine can output the confidence and the credibility as well as the label of testing examples. And correction portion is improved by adding some testing sample whose characters are helpful for machine into the training sample set while prediction. |
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| Keywords: | small sample set confidence support vector machine confidence credibility algorithmic theory of randomness |
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