Computer Science ›› 2011, Vol. 38 ›› Issue (10): 256-258.
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SUN Shu-liana,LIN Xue-yun
Online:
Published:
Abstract: Support vector machine(SVM) is based on the minimum of structure risk and used for small samples in ma- chine learning. Memory support vector machine(MSVM) feedback is based on SVM and used cumulation samples repla- cing feedback samples by memory. It reduces the risk of recall vibration. MSVM feedback also proposes memory label which is used for lightening user's burden. MSVM feedback is proved its superiority by relevant experiments.
Key words: Support vector machine,Feedback,Memory labcl,Cumulation sample
SUN Shu-liana,LIN Xue-yun. Relevance Feedback Algorithm Based on Memory Support Vector Machines[J].Computer Science, 2011, 38(10): 256-258.
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