New Machine Learning - Support Vector Machines Study Findings Have Been Reported by J.Y. Xie and Co-Researchers

摘要

2011 APR 11 - (VerticalNews.com) -- According to recent research published in thernjournal Expert Systems with Applications, "In this paper, we developed a diagnosis model basedrnon support vector machines (SVM) with a novel hybrid feature selection method to diagnosernerythemato-squamous diseases. Our proposed hybrid feature selection method, named improvedrnF-score and Sequential Forward Search (IFSFS), combines the advantages of filter and wrapperrnmethods to select the optimal feature subset from the original feature set."