In this tutorial, we attempt to identify the field of a paper based on its citation graph, which serves as a proxy for the paper’s content and its context within the scientific discourse. Understanding and leveraging this structure is central to our ML problem: how to infer the field of a paper from the complex web of citations in which it is embedded.

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This paper adopted Supportive Vector Regression (SVR) and Least Square Regression(LSR) models to predict the traffic flow. LSR model and SVR models with linear, Gaussian, polynomial kernel separately are built and then evaluated with MSE and R-squared.

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