Sample Reduction for SVMs via Data Structure Analysis

机译：通过数据结构分析对SVM进行样品减少

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This paper presents a new sample reduction algorithm, Sample Reduction by Data Structure Analysis (SR-DSA), for SVMs to improve their scalability. SR-DSA utilizes data structure information in determining which data points are not useful in learning the separating plane and could be removed. As this algorithm is performed before SVMs training, it avoids the problem suffered by most sample reduction methods whose choices of samples heavily depend on repeatedly training of SVMs. Experiments on both synthetic and real world datasets have shown that SR-DSA is capable of reducing the number of samples as well as the time for SVMs training while maintaining high testing accuracy.

机译：本文提出了一种新的样品减少算法，通过数据结构分析（SR-DSA）进行样品减少，用于SVM，以提高其可扩展性。 SR-DSA利用数据结构信息确定哪些数据点在学习分离平面时没有用，并且可以被移除。正如该算法在SVMS训练前执行，它避免了大多数样品减少方法所遭受的问题，其样本的选择严重取决于跨越SVM的训练。合成和现实世界数据集的实验表明，SR-DSA能够减少样品的数量以及SVMS训练的时间，同时保持高测试精度。

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《IEEE International Conference on System of Systems Engineering》|2007年||共6页
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作者
Wang Defeng; Yeung Daniel S.; Eric C. C. Tsang; SOSE;
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中图分类 N945-53;
关键词
Hierarchical Clustering; Mahalanobis distance; Sample Reduction; Support Vector Machines (SVMs);

机译：分层聚类;mahalanobis距离;减少样品;支持向量机（SVM）;

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专利

1. Selecting valuable training samples for SVMs via data structure analysis [J] . Defeng Wang, Lin Shi Neurocomputing . 2008,第13a15期

机译：通过数据结构分析为SVM选择有价值的培训样本
2. Sample reduction using recursive and segmented data structure analysis [J] . R. H. Laskar, F. A. Talukdar, Biman Paul, Journal of Engineering and Computer Innovations . 2011,第4期

机译：使用递归和分段数据结构分析减少样本
3. Training the SVM to Larger Dataset Applications using the SVM Sampling Technique [J] . G. M. Sangeetha, Prashanth Indian Journal of Science and Technology . 2015,第15期

机译：使用SVM采样技术将SVM训练到更大的数据集应用程序
4. Sample Reduction for SVMs via Data Structure Analysis [C] . Defeng Wang, Daniel S. Yeung, Eric, IEEE International Conference on System of Systems Engineering . 2007

机译：通过数据结构分析对SVM进行样品减少
5. Research into computer hardware acceleration of data reduction and SVMs. [D] . Kane, Jason. 2016

机译：研究数据缩减和SVM的计算机硬件加速。
6. SaDA: From Sampling to Data Analysis—An Extensible Open Source Infrastructure for Rapid Robust and Automated Management and Analysis of Modern Ecological High-Throughput Microarray Data [O] . Kumar Saurabh Singh, Dominique Thual, Roberto Spurio, 2015

机译：SaDA：从采样到数据分析-一种可扩展的开源基础结构用于快速强大和自动化的管理和现代生态高通量微阵列数据分析
7. Sample reduction for SVMs via data structure analysis [O] . Wang DF, Yeung DS, Tsang ECC 2007

机译：通过数据结构分析减少SVM的样本

Sample Reduction for SVMs via Data Structure Analysis

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