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Table 4 Forming a consensus labelling. Forming a consensus labelling from k paths. Results for Viterbi decoding and 1-best decoding (as used in Phobius) are provided for comparison. (n = 247).

From: Decoding HMMs using the k best paths: algorithms and applications

  τ= 0 τ= 1 τ= 2 τ= 3 τ= 4 τ= 5 Phobius
k = 10 3 12 23 27 47 69 139
k = 100 4 14 23 32 51 70 141
k = 1000 3 15 24 35 57 77 145
Viterbi (k = 1) 2 11 19 27 46 59 137
1-best 4 18 26 38 62 79 166