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We used 1,000 MCMC steps for burn-in, followed by 30,000 MCMC steps for inference; convergence was monitored with the Gelman-Rubin diagnostic (PFSR < 1.01) [ 97] based on three chains run in parallel.
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Although the introduction of these input parameters offers greater possibilities for fine-tuning of the algorithm, parameter identification is a crucial step for the inference of networks from biological data.
Our task involved two steps of inference, and there is evidence that several species successfully solve one step, but fail with two-step inferences.
That means only every nthin th step is used for inference in order to avoid correlations between the scores at time t and t + Δ t, that occur in MCMC in constrast to direct generating random sequences.
Finding such a loop cutset is the first step in the method of conditioning for inference.
In Algorithm 1, the E-step involves generating phylogenetic trees via calls to a heuristic median-joining-based algorithm for inference of Steiner nodes in the tumor phylogenies.
The limit there is, it's for inference only, but we're only going after the inference market — it's gonna be huge.
The traditional fuzzy logic method mainly includes four steps: fuzzification, inference, aggregation, and defuzzification.
Loopy Belief Propagation inference algorithm was used for inference.
For inference, 100,000 MCMC iterations were run.
We combined two methods for inference.
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