Maximum entropy is a principle stating that, given prior constraints or data, the most objective probability distribution is the one with the highest possible entropy, representing the greatest uncertainty and least assumption beyond what is known. This method selects a probability distribution that maximizes uncertainty while still satisfying the constraints of the data, such as Read More …