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For each gene, phylogenetic trees were inferred by using maximum-likelihood and Bayesian inference methods.

Figure 5 Phylogenetic placement of F. pinicola strains inferred by using the Maximum Likelihood method based on the Hasegawa-Kishino-Yano model.

The rheological structures of the lowlands (North Pole) and highlands (Solis Planum) were inferred by using the temperature profiles of each region, as calculated above.

The evolutionary history was inferred by using the Maximum Likelihood method with the default options of MEGA5, based on the Tamura-Nei model and 1000 bootstrap replications.

Figure 6 Phylogenetic placement of P. betulinus strains inferred by using the Maximum Likelihood method based on the Kimura 2-parameter model.

The phylogenetic tree was inferred by using the Neighbour-Joining method with the Maximum Composite Likelihood model in MEGA4 program with bootstrap values based on 1000 replications.

Fomes fasciatus was used as outgroup (Figure 4). Figure 4 Phylogenetic placement of F. fomentarius strains inferred by using the Maximum Likelihood method based on the Kimura 2-parameter model.

The parameters of the MRF model are learned from the training data and then the most likely color distribution for each pixel in the given color-depleted image is inferred by using belief propagation (BP).

New relations were then inferred by using everyday knowledge (e.g., the definition of "pretend") already stored in Scone knowledge base so that the mental states could be described more accurately.

Phylogenetic trees were inferred by using maximum-likelihood (ML) and Bayesian methods.

In other methods this position can only be inferred by using additional secondary structure information to reduce alignment errors.

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