Hidden Markov Models: Fundamentals and Applications Part 1: Markov Chains and Mixture Models
نویسنده
چکیده
The objective of this tutorial is to introduce basic concepts of a Hidden Markov Model (HMM) as a fusion of more simple models such as a Markov chain and a Gaussian mixture model. The tutorial is intended for the practicing engineer, biologist, linguist or programmer who would like to learn more about the above mentioned fascinating mathematical models and include them into one’s repertoire. This lecture presents Markov Chains and Gaussian mixture models, which constitute the preliminary knowledge for understanding Hidden Markov Models.
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Hidden Markov Models: Fundamentals and Applications Part 2: Discrete and Continuous Hidden Markov Models
The objective of this tutorial is to introduce basic concepts of a Hidden Markov Model (HMM). The tutorial is intended for the practicing engineer, biologist, linguist or programmer who would like to learn more about the above mentioned fascinating mathematical models and include them into one’s repertoire. This part of the tutorial is devoted to the basic concepts of a Hidden Markov Model. You...
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