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By: a guest on Apr 24th, 2012  |  syntax: None  |  size: 0.25 KB  |  hits: 7  |  expires: Never
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  1. What does mean that P(λ) is the prior probability in a Hidden Markov Model?
  2. P(state q[i] at t | state q[j] at t+1) =P(state q[i] at t | state q[j] at t+1, λ)
  3.        
  4. P(state q[i] at t | state q[j] at t+1) =P(state q[i] at t | state q[j] at t+1, λ) / P(λ)
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