The methods for symbolic regression (SR) have come a long way since the days of Koza-style genetic programming (GP). Our goal with this project is to keep a living benchmark of modern symbolic ...

Power flow (PF) is one of the most important calculations in power systems. The widely-used PF methods are the Newton-Raphson PF (NRPF) method and the fast-decoupled PF (FDPF) method. In smart grids, ...

5 Alternative methods Besides trimming and winsorizing, there are other methods to deal with outliers in regression, such as transforming the data, using robust estimators, or adding dummy variables.

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

Automatic Linear Modeling (ALM), is considered a relatively a new method, introduced in SPSS software (version 19 and up), enabling researchers to select the best subset automatically especially when ...

The Cleveland Browns have revamped their offense by adding rookie Quinshon Judkins, a second reliable tight end in Harold Fannin, and two quarterbacks via the 2 ...

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

Combining these results lead to the proposed Adaptive Optimizable Gaussian Process Regression Linear Least Squares Regression (AO-GPRLLSR) Filtering pipeline. The AO-GPRLLSR method generated an ...