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Regression Method Based on SVM Classification and Its Application in Influence Prediction of a Liberalism Case in International Law

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Proceedings of the 2012 International Conference of Modern Computer Science and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 191))

Abstract

For non-linear problem, the forecasting technique of pre—classification and later regression was proposed, based on the classification approach of Support Vector Machine(SVM). Compared with other forecasting techniques and their forecasting results, this algorithm outperforms others in influence prediction of a liberalism case in international law.

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Correspondence to Gang Wu .

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Wu, G., Chenggeng, J. (2013). Regression Method Based on SVM Classification and Its Application in Influence Prediction of a Liberalism Case in International Law. In: Du, Z. (eds) Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Advances in Intelligent Systems and Computing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33030-8_59

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  • DOI: https://doi.org/10.1007/978-3-642-33030-8_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33029-2

  • Online ISBN: 978-3-642-33030-8

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