Sentence examples for models with split from inspiring English sources

In a limited set, some manual editing was also used to analyze and combine de novo gene model predictions from genomic sequences (using the Genscan program, Celera and Ensembl gene models) with split predictions into a full-length gene model.

The reason why we got higher error rates on the "yeast" dataset is because the dataset's size is too small to build accurate base models with large split numbers (number of mappers), which is the same reason as we have explained in the accuracy performance experiments.

We introduce ensembles of fuzzified model trees with split attribute randomization and evaluate them for nonlinear dynamic system identification.

A fixed covariate list and ICU-site clustering with robust variance were utilised for model fitting with split-sample determination (80%) and validation (20%) data sets, and model simulation was undertaken to establish over-fitting (Copas test).

However the preliminary study (Prakash et al. 2018) on comparison of prediction models with respect to split tensile strength showed marginally higher accuracy for RKS model over that of ANN model for the same experimental data set.

We create an ensemble model (specified with variables identified in Supplementary Table S2) from the five independently trained models (with different dataset splits).

Forest plots from the two-stage meta-analyses using Cox models and Poisson models with 0.5 year splits are shown in Figures 1 and 2, respectively, illustrating the consistent estimates of the treatment effect at both the trial and meta-analysis level.

These items were applied in an interactive decision tree model (with potential splits based on chi-square values for a new pressure ulcer and the candidate splitting variable) as a final step to see if alternative treatment of them might improve predictive performance.

Political science models are split, with the average model showing an Obama lead of a few 10ths of a point.

Briefly, temperature-programmed gas chromatography with split injection (Model 6890; Agilent Technologies, Palo Alto, USA) was coupled to a mass selective detector (model 5973 Agilent Technologies) in the electron impact ionisation mode for glucose and valine analysis and in the positive chemical ionisation mode for glycerol.

Models with 1 10 numbers of splits per chromosome were fitted to the genotypic and phenotypic data of a randomly selected training set of genotypes of size 800.