Algorithms, Dynamic Programming, Machine Learning, Artificial Intelligence, Markov Models.
Real-world applications Finding the most probable sequence of hidden states helps us understand the ground truth underlying a series of unreliable observations. This comes in handy for two types of tasks: Filtering, where noisy data is cleaned up to reveal the true state of the world. Determining