Relevance Feedback Algorithm Based on Memory Support Vector Machines

Support vector machine(SVM) is based on the minimum of structure risk and used for small samples in machine learning. Memory support vector machine(MSVM) feedback is based on SVM and used cumulation samples replacing 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.