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- W2390299251 abstract "Like many purely data-driven machine learning methods,Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset;thus a larger training dataset is required for better performance.In some applications,there might be human knowledge available that,in principle,could compensate for the lack of data.This paper presents an incorporation of prior knowledge of the support vector machine regression,and give support vector machine regression a general form.The experimental results show that the proposed methods of incorporating prior knowledge are effective." @default.
- W2390299251 created "2016-06-24" @default.
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- W2390299251 date "2011-01-01" @default.
- W2390299251 modified "2023-09-23" @default.
- W2390299251 title "Incorporation of Prior Knowledge with the Support Vector Machine Regression" @default.
- W2390299251 hasPublicationYear "2011" @default.
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