The Bayes theorem describes the probability of an event based on the prior knowledge of the conditions that might be related to the event. If we know the conditional probability , we can use the bayes rule to find out the reverse probabilities . How do I find Bayes optimalRead More →
One of the simplest methods for showing that a greedy algorithm is correct is to use a “greedy stays ahead” argument. This style of proof works by showing that, according to some measure, the greedy algorithm always is at least as far ahead as the optimal solution during each iterationRead More →
An optimal decision is a decision that leads to at least as good a known or expected outcome as all other available decision options. … The problem of finding the optimal decision is a mathematical optimization problem. What does not optimal mean? : not most desirable or satisfactory : notRead More →