A Markov model is a stochastic model used to model randomly changing systems. It assumes that future states depend only on the current state, and this assumption enables reasoning and computation with the model. It is desirable for predictive modelling and probabilistic forecasting.
Carnegie Mellon University
Spring 2019
This course explores discrete music information representation and manipulation. It introduces timed event sequences, MIDI protocol, and non-real-time processing techniques like Markov models and algorithmic composition. Prior knowledge of course 15-122 is required.
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