PCA total explained variance ratio is ALWAYS equal to ONE for any number of output dimensions. I know PCA is not a good approach to spectral data. I usually go with NMF, evaluated with ...
Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...
In the rapidly advancing era of Artificial Intelligence, the introduction of Large Language Models (LLMs) has transformed the way machines and humans interact with each other. Recent months have seen ...
Based on the panel data of 30 provinces in China from 2006 to 2019, this paper uses the panel vector autoregression model to empirically analyze the interaction and lagging influence among talent ...
Economic and financial time series are the result of the aggregation of phenomena operating at different frequencies. The presence of shocks with heterogeneous persistence is a relevant issue in the ...
ABSTRACT: African countries are expected to be having a comparative advantage when it comes to agricultural products. If this is true, specializing in agriculture can increase output levels. However, ...
A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...
1 Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China 2 College of ...
Abstract: An error function can be used to select between candidate models but it does not provide a thorough understanding of the behavior of a model. A greater ...
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