Sentence examples for model tree is from inspiring English sources

The annual growth of the model tree is driven by net production after respiration losses are taken into account.

Results show that the model tree is more accurate than empirical formulas and TS Fuzzy approach in estimating the full-scale run-up.

Since both SD and NN aim to represent the compatible splits in the sequence data, resolution is not necessarily their primary goal, but our results indicate that quite frequently the model tree is not included within their representations, a finding that needs closer inspection.

Thereby the model tree is rooted with the taxon suggested in [ 2].

This is done by generating a forest of trees, i.e. a model tree is built for each gene g j ∈ G with 1 ≤ j ≤ m.

The proportion of triplets that are in the supertree but not in the model tree is called the type I error and corresponds to erroneous information displayed in the supertree (sometimes called false positive).

For prediction of accident frequencies using fifteen input parameters, two modeling approaches: FENB/RENB regression and M5 model tree were used.

Additionally, a multilayer perceptron network (MLP) and M5 model tree were fitted to the experimental data for comparison purposes.

In the present study, several soft computing models, namely multi-layer perceptron (MLP), radial basis function (RBF) and M5P model tree, were used to predict the dsm at river confluences under live-bed conditions.

Differences between the MP cladogram and the raw material model tree were found to be highly significant (p<0.0001).

In order to implement the K-H test, a model tree was built by first constructing a constraint tree reflecting pure raw material groups (i.e. taxonomic units of identical raw material were linked together in a multifircating clade).