(2002) 183-184

HIGHLIGHTS

  • who: Scientific Programming and collaborators from the Programming hidden Markov models Chris Bystroff Department of Biology, Rensselaer Polytechnic Institute, Troy, NJ, USA have published the paper: (2002) 183-184, in the Journal: (JOURNAL)
  • how: One theoretical approach is presented in this issue (see the Article by Li and Biswas).

SUMMARY

    Andrei A Markov emit temperature readings, the states themselves may represent precipitation readings, or wind direction, or seasons, or all of the above. Algorithms for computing the probabilistic fit between a data string, or a set of strings, and a HMM . . .

     

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