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- W2373112870 abstract "Data based machine learning includes function regression. Support Vector Machine (SVM) is a novel and powerful learning method which is derived from Statistical Learning Theory (SLT) advanced by Vapnik et al.--a small-sample statistics, especially for representing complex function in high dimensional space. In this paper, a function regression based on SVM is presented to predict source location in ocean environment, and emulated different results by modifying different parameters. On condition of small-sample statistics, using larger penalization value can get higher precision. More samples may not correspond to higher precision when the items of environment parameters are fixed. So the sample number is not the main factor on condition of small-sample statistics." @default.
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- W2373112870 date "2004-01-01" @default.
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- W2373112870 title "Application of Source Location Based on SVM" @default.
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