Sentence examples for modeling methods such from inspiring English sources

The proposed method is compared with traditional reduced-order modeling methods such as component mode synthesis, and its advantages are discussed.

Typical speech modeling methods such as STP and LTP are good candidates for the pre-processing module.

Fully automated topic modeling methods such as Latent Dirichlet Allocation [123] might be used to create a sustainability vocabulary database.

Conventional speaker modeling methods such as Gaussian mixture models (GMMs) [1] achieve very high performance for speaker identification and verification tasks on high-quality data when training and testing conditions are well controlled.

Compared with other ab initio modeling methods such as ROSETTA and TOUCHSTONE II, the average performance of I-TASSER is either much better or is similar within a lower computational time.

The benchmark of the FREAD method contains 30 targets for each loop length, (from 4 to 20 residues) and a recent assessment using this benchmark (Choi and Deane, 2010) has shown that template-based methods such as FREAD can achieve better performance compared to the ab-initio loop modeling methods such as MODLOOP, RAPPER and PLOP on this benchmark.

Novel spatial modelling methods such as maximum entropy (MAXENT) and the genetic algorithm for rule set production (GARP) require only disease presence data and have been used extensively in the fields of ecology and conservation, to model species distribution and habitat suitability [ 19].

Safety analysts usually use post-modeling methods, such as the Goodness-of-Fit statistics or the Likelihood Ratio Test, to decide between two or more competitive distributions or models.

In such cases, modeling methods involving Artificial Intelligence may be employed.

These findings highlight the possibility of distinguishing between mechanisms that implement a given biological function using simple models, empowered by model-discrimination methods such as those presented in this work.

Recently ecological niche modeling (ENM) methods, such as GARP [ 25] and Maxent [ 26], have been widely applied in species distribution modeling when only presence data is available for prediction [ 27, 28].