US Patent 11410073 Systems and methods for robust feature selection

A device may generate an objective function for determining weights for potential features corresponding to training data. The objective function may be generated using a robust loss function such that the objective function is at least continuously twice differentiable. The objective function may comprise a neighborhood component analysis objective function that includes the robust loss function. The device may determine the weights for the potential features using the objective function. The determining may comprise optimizing a value of the objective function for each potential feature. The weights may represent predictive powers of corresponding potential features. The device may provide the weights for the potential features.