Sentence examples for models while minimizing from inspiring English sources
In this paper, a new fault tolerant control methodology is proposed for partial loss of control authority in aircraft using piecewise affine (PWA) slab models while minimizing an upper bound on a quadratic cost function.
The GEMM-ESC approach speeds up the generation/modification of mouse models, while minimizing the breeding efforts.
This provides an idealized context for generating transcriptome-based diagnostic models while minimizing the inherent noisiness of high-throughput technologies.
Using this extension, we produced error-free SBML models while minimizing or even eliminating the loss of information during the translation.
The designed input signal ensures a predefined quality of the model while minimizing the input energy.
The adaptation mechanism is used to update the related parameters of the model while minimizing the absolute value of the instantaneous error between the system and model outputs.
This equation was subsequently used to provide a RMSD sampling rate to filter conformer models such that 90% of conformer ensembles should have the same or lesser RMSD accuracy value, thus, allowing one to maximize the accuracy of a conformer model while minimizing the count of retained conformers.
Variables and interaction terms were retained in the model if they improved model fit, while minimizing Akaike's information criterion (AIC), or were determined to be important confounders based on a change in parameter estimates from the crude parameter by at least 10% with addition of the variables to the model.
Hybrid capture methods will allow for highly efficient and massively parallel re-sequencing of genomes of interest for non-model organisms, while minimizing cost and effort of sequencing host DNA.
By systematically handling simulation deadlines while minimizing the modeler's interventions, OOPM/RT provides an efficient modeling environment for real-time systems.
The emphasis on the search for parsimonious models – that is, models which attain high accuracy while minimizing the number of features – is now standard operating procedure in machine learning.
