gombiuda Jiang's Profile

Member since Apr 25, 2009, follows 3 people, 0 public groups, 13 public bookmarks (13 total).

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  • Hidden Markov model - Wikipedia, the free encyclopedia on 2009-05-08
  • HMMs - Summary on 2009-04-28
    • drawback
    • over-simplification
  • HMMs - Summary on 2009-04-28
    • a common assumption is that the
      process's state is dependent only on the preceding N states
  • Hidden Markov Models on 2009-04-28
    • Viterbi
  • Hidden Markov Models on 2009-04-28
    • forward algorithm
    • not
      directly observable.
  • Hidden Markov Models on 2009-04-28
    • Finding
      the probability of an observed sequence
    • finding the sequence of hidden states
    • 2 more annotations...
  • Hidden Markov Models on 2009-04-28
    • (HMM) is a triple (P,A,B).






    • Generating Patterns on 2009-04-28
      • discrete time steps, discrete states, and we may
        make the Markov assumption
      • state
        transition probabilites do not vary in time
    • Generating Patterns on 2009-04-28
      • A Markov process is a process which moves from state to state
        depending (only) on the previous n states.
      • probabalistically
      • 3 more annotations...
    • Generating Patterns on 2009-04-28
      • assume
      • depends only upon the
        previous states
      • 3 more annotations...

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