The Coefficient-of-Variations (CoV) weighting scheme is also designed for optimally learning machine learning tasks where the objective function is a weighted linear combination of multiple losses. In brief, this weighting scheme uses the statistical properties inherent in loss functions to explicitly determine their relative importance. This is achieved using the CoV, which quantifies the relationship between the standard deviation (σ) and the mean (µ).