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Book Chapter

Phylogenetic Hidden Markov Models

  • Siepel A
  • Haussler D
Springer-Verlag, (2005), 325-351
DOI: 10.1007/0-387-27733-1_12
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Abstract

The Hidden Markov Model (HMM) is a popular statistical tool for modelling a wide range of time series data. In the context of natural language processing(NLP), HMMs have been applied with great success to problems such as part-of-speech tagging and noun-phrase chunking.

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Siepel, A., & Haussler, D. (2005). Phylogenetic Hidden Markov Models. In Statistical Methods in Molecular Evolution (pp. 325–351). Springer-Verlag. https://doi.org/10.1007/0-387-27733-1_12

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