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Run · Voynich Manuscript

Generation 5: population annealing from a higher starting beta (0.6); method dropped after two generations

Population-annealed EM for the lattice key, compared with independent restarts: Training log-likelihood and key accuracy on the one-sign-per-letter control, against independent restarts.

Population annealing loses to independent restarts on the planted control in both generations (beta from 0.2: ll -42,067, key 0; from 0.6: ll -41,455, key 0.22). Resampling drives the population onto one state, which removes the diversity that restarts depend on. Dropped, with deterministic annealing.ll -41,455 (all 32 members converge to one state), key 0.218, coverage 0.3280

Result

RunMeasuredResultAgainstDecisionDate
RunTraining log-likelihood and key accuracy on the one-sign-per-letter control, against independent restartsll -41,455 (all 32 members converge to one state), key 0.218, coverage 0.328200 independent restarts, same control: ll -40,969, key 0.698Population annealing loses to independent restarts on the planted control in both generations (beta from 0.2: ll -42,067, key 0; from 0.6: ll -41,455, key 0.22). Resampling drives the population onto one state, which removes the diversity that restarts depend on. Dropped, with deterministic annealing.

What it used and found

Parameters

PA = 8, pw = 0.25, BETA0 = 0.6, alpha = 0.05, population = 32, permutations = 10, em_iterations = 60

Cite it

Mysteries Department. (2026). Generation 5: population annealing from a higher starting beta (0.6); method dropped after two generations [Run RUN0DCGYKWPD5D2]. https://mysteriesdept.com/r/RUN0DCGYKWPD5D2
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