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Studies from Beijing University of Chemical Technology Have Provided New Data on Support Vector Machines

机译:北京化工大学的研究提供了有关支持向量机的新数据

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2012 JUN 4 (VerticalNews) -- By a News Reporter-Staff News Editor at Robotics & Machine Learning -- nFresh data on Support Vector Machines are presented in a new report. According to news reporting noriginating from Beijing, People's Republic of China, by VerticalNews correspondents, researchers stated n"Using a support vector machine (SVM), three classification models were built to predict whether a ncompound is an active or weakly active inhibitor based on a dataset of 386 hepatitis C virus (HCV) NS5B npolymerase NNIs (non-nucleoside analogue inhibitors) fitting into the pocket of the NNI III binding site. nFor each molecule, global descriptors, 2D and 3D property autocorrelation descriptors were calculated nfrom the program ADRIANA. Code."
机译:2012年6月4日(VerticalNews)-由机器人与机器学习新闻记者-工作人员新闻编辑-新报告中介绍了支持向量机上的nFresh数据。根据VerticalNews通讯社从中国北京发来的新闻报道,研究人员称n“使用支持向量机(SVM),建立了三种分类模型来预测ncompound是基于活性成分还是弱活性成分的抑制剂。 386个丙型肝炎病毒(HCV)NS5B聚合酶NNI(非核苷类似物抑制剂)的数据集适合NNI III结合位点的口袋n对于每个分子,从程序ADRIANA中计算出全局描述符,2D和3D属性自相关描述符。码。”

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