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"This is one of the most disturbing things we're seeing," an FBI official said. FBI officials say they are growing increasingly concerned about a loose network of violent predators who befriend ...
Discover the key types of network traffic and their role in optimizing performance plus real-world examples to see how they impact data flow. Identifying network traffic types is vital because it ...
The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...
This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including ...
Background: Ethno-racial disparities in cardiometabolic diseases are driven by socioeconomic, behavioral, and environmental factors. Bayesian networks offer an approach to analyze the complex ...
In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...
Relay protection rejection and misoperation exist in the existing distribution network, which will affect the fault diagnosis results. To diagnose faults in distribution networks, this paper presents ...
Abstract: A virtual example is an artificial example that does not exist in the given training set. We sample a virtual example from a Bayesian network constructed with the original training set. The ...
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