Maximum Likelihood Decoding

Maximum Likelihood Decoding is a mathematical approach used to identify the most probable solution from observed data. Imagine trying to find a hidden message in a noisy environment; this method analyzes all possible messages and estimates which one is most likely true based on the evidence available. In fields like statistics and machine learning, it helps algorithms make the best predictions by maximizing the likelihood of observed outcomes, ensuring that the chosen solution aligns as closely as possible with the actual data observed, thereby improving accuracy and reliability in decision-making.