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In order to only evaluate the control models, and not the recognition, the phonetic input to all models was generated using forced alignment Sjolander [19].
A set of models was generated, followed by model selection and identity testing in order to compare groups of basic wood density (low, medium and high).
Through experimental data collected on omega FWHM, phi FWHM, and composition of orientations, a set of models was generated to characterize the epitaxial growth response to various processing factors.
A sequence of models was generated by forward selection.
Starting from this alignment, a set of 10 full-atoms models was generated for each human monomer.
The final list of models was generated by the union of the two chains with minimum average miss-classification error [56].
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Ten models were generated with Modeller.
Initially ten homology models were generated using Modeller v9.0 [ 23] and one model was generated using SWISS-MODEL web server [ 19].
Models were generated using the Modeller software.
Models were generated using the Maxent algorithm.
These initial models were generated using various descriptor sets.
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