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This chapter continues our presentation of Markov models, introducing in ► Sect. 24.1 the hidden Markov model (HMM) with several examples. ► Section 24.2 presents several extensions to hidden Markov models, including auto-regressive, factorial, and N-gram HMMs. ► Section 24.3 is a short survey of other Markov-related models, and ► Sect. 24.4 is a survey of logic-based approaches to probabilistic modeling.

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Hidden Markov and Alternative Probabilistic Models

  • 章节

  • 发表日期：

    2025年

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  • George F. Luger

摘要

This chapter continues our presentation of Markov models, introducing in ► Sect. 24.1 the hidden Markov model (HMM) with several examples. ► Section 24.2 presents several extensions to hidden Markov models, including auto-regressive, factorial, and N-gram HMMs. ► Section 24.3 is a short survey of other Markov-related models, and ► Sect. 24.4 is a survey of logic-based approaches to probabilistic modeling.