Abstract: Accurate power consumption prediction in data centers is critical for optimizing energy efficiency, but is fundamentally challenged by workloads exhibiting both linear and non-linear ...
Abstract: In this paper, we introduce a complementary and straightforward mechanism for anomaly detection tailored for smart city infrastructures, utilizing a combination of regression algorithms. Our ...
This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...
Tesla released its Autopilot safety report for Q2 2025, confirming that Autopilot safety has regressed so far in 2025. The Autopilot safety reports consist of Tesla releasing the miles driven between ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict an employee's salary based on age, height, years of experience, and so on ...
A person's age is one of the best predictors of how much longer they are likely to live. This is the main idea behind life expectancy. Life expectancy is a statistical measure of how long a person is ...
Staffing shortages have forced the U.S. federal government to scale back the price checks it uses to calculate the inflation rate. Economists are warning that could lead to less accurate ...
Have you ever found yourself tangled in a web of Excel formulas, trying to clean up messy datasets or make sense of inconsistent entries? If so, you’re not alone. Many of us have spent countless hours ...
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