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机译:高维无监督归约的本征贝叶斯模型
School of Software Engineering, South China University of Technology, Wushan Rd 381, Guangzhou 510006, PR China,School of Communication and Information Engineering, Shanghai University, Yanchang Rd 149, Shanghai 200072, PR China;
School of Communication and Information Engineering, Shanghai University, Yanchang Rd 149, Shanghai 200072, PR China;
School of Communication and Information Engineering, Shanghai University, Yanchang Rd 149, Shanghai 200072, PR China;
School of Communication and Information Engineering, Shanghai University, Yanchang Rd 149, Shanghai 200072, PR China;
School of Software Engineering, South China University of Technology, Wushan Rd 381, Guangzhou 510006, PR China;
dimension reduction; intrinsic bayesian; inductive cognitive; unsupervised model;
机译:结构化贝叶斯高斯过程潜在变量模型:应用于数据驱动的维度降低和高维反转
机译:从癌症数据中的高维DNA甲基化水平估算基因表达:一种双峰无监督降维算法
机译:高维数据分类的无监督降维
机译:使用无监督贝叶斯模型进行高维数据约简的通用框架
机译:可扩展的基于物理的数据建模框架,可实现无监督的高维数据挖掘。
机译:监督贝叶斯潜在类模型用于高维数据
机译:一种可扩展的无监督特征合并方法,有效降低高维视觉数据的维数