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。
The paper introduces the new studies on single-variable model, multi-variable model, conditioning probability model and nerve network model in foreign countries.
文章从单变量模型、多变量模型、条件概率模型以及神经网络模型等最新模型介绍了国外对财务困境预测模型的研究;
Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.
最后,本文探讨了第一个数据挖掘模型:回归模型(特别是线性回归多变量模型),另外还展示了如何在WEKA中使用它。
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