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Next, each edge is weighted based on its posterior probability of belonging to a protein complex, using a naive-Bayes maximum-likelihood model learned from a set of training complexes.
Next, we weight each edge of the composite network based on its posterior probability of belonging to a protein complex, using a naive-Bayes maximum-likelihood model learned from a set of training complexes.
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C4.5 builds decision trees from a set of training data.
The parameters of these distributions are estimated from a set of examples, the training set.
Shi first obtained a weighted PPI network, a set of known protein complexes, and nonprotein complexes to set up the training model.
Alternatively, both the training of a more complex planning task and a set of less complex basic cognition tasks might lead to a similar improvement through different mechanisms.
This table is from a set of experiments or examples, collected as the training data set.
Parameter estimates from each set formed an independent set of training examples for classification.
In every repetition the training samples were randomly selected from the complete set of training instances.
The functional training for the participants of the NT-group follows a set training program with complex movement exercises called "Muscle Action Quality (MAQ) training" [ 68].
These 103 complexes were randomly split into a training set of 75 complexes and a test set with the remaining 28 complexes.
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