Gaussian Process Latent Variable Model 量模型
Latent variable interaction model 潜在变量交互模型
latent contextual variable model 潜在脉络变数模型
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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。
We introduce the direction of arrows on the latent variable, equivalent model and power of test.
本文介绍隐变量上的箭头指向问题、模型的等价及检验的功效。
By the utility of latent variable approach (LV) and state space model, the paper measures TFP growth from 1979 to 2008 in China in order to find the accounting error of GDP data.
运用隐性变量法通过建立状态空间模型测算中国1979 - 2008年间TF P增长率,分析GDP数据是否存在误差。
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