Gaussian process latent variable model (GPLVM) is a popular manifold method recently proposed for dimensional reduction.
高斯过程隐变量模型是最近提出的比较流行的无监督降维方法。
Results: Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation.
结果：利用一组职业紧张调查数据例证了潜变量得分的估计方法，通过对职业紧张量表(OSI - R)测量结果分析，结果符合专业解释。
Results:Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation. Con…
结果：利用一组职业紧张调查数据例证了潜变量得分的估计方法，通过对职业紧张量表（OSI -R） 测量结果分析，结果符合专业解释。
Results:Occupational stress survey data were utilized to exemplify the latent variable scores estimated method and the analysis results OSI-R coincided with professional interpretation. Con…
结果：利用一组职业紧张调查数据例证了潜变量得分的估计方法，通过对职业紧张量表（OSI -R） 测量结果分析，结果符合专业解释。
应用推荐