Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.
ABSTRACT: Repeated convolution and truncation of a truncated fat-tailed distribution, instead of Monte Carlo simulation, for pricing a discrete, simple barrier option is presented. The parameters for ...
Fine particles play a crucial role in defining the properties of both natural and synthetic materials, significantly influencing processes such as adsorption, dissolution, and reaction rates. In many ...
Abstract: In this study we introduce Logarithmic Frequency Shift Keying (Log-FSK), a novel frequency modulation for over-the-air computation (AirComp). Log-FSK leverages non-linear signal processing ...
PARTNER CONTENT Given the size and complexity of modern semiconductor designs, functional verification has become a dominant phase in the development cycle. Coverage lies at the very heart of this ...
感谢您的出色工作，我对您提出的Dynamic-range Histogram Self-Attention十分感兴趣，将在最近的工作中进行引用您的这项工作。 根据您提供的代码，及论文中的描述：To extract both global and local information, we define two types of reshaping, i.e., bin-wise histogram ...
When you open Excel and start working with data, you might wonder how to visualize the distribution of your data points. This is where a Histogram Chart comes into play. A Histogram Chart is a type of ...
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