Sentence examples for models for target from inspiring English sources
In this study, the design of experiment (DOE) optimization procedure proposed originally by Chen et al. (1998) and extended later by Chu et al. (2003) has been revised by using support vector regression (SVR) to build models for target processes.
(i) In this paper we explicitly present two decision-fusion models for target detection when the target location is random.
This 'Big Data' set covers large number of targets reported in the literature and can be used for building holistic multi-target QSAR models for target prediction.
The proposed algorithm enables integrated, multiframe target detection and tracking incorporating the statistical models for target motion, target aspect, and spatial correlation of the background clutter.
However, the particle filter algorithm in [4] enabled tracking only (assuming that the target was always present in all frames) and used decoupled statistically independent models for target motion and target aspect.
(i) The development of fast simulation tools for high resolution sensors: this will enable us to tackle the current lack of real datasets to develop and evaluate new algorithms including generative models for target identification.
Classification approaches based upon Naïve Bayes markedly feature in the probabilistic classification models for target-fishing [10, 12, 13, 15, 19] (and references therein).
(DOCX 11 MB) 13321_2014_38_MOESM5_ESM.zip Additional file 5: Table S4.: The Bayesian models for targets are shown in (a-e) and shows the target prediction charts and selected binders for targets with at least 3 examples.
Other authors have also considered the equity risks linked to the use of predictive models for targeting multimorbid care management interventions [ 19].
In a recent study, immunostimulation was further enhanced with an siRNA targeting expression of IL-10 in combination with the TLR-7 stimulation by the molecule [ 33]. siRNA was used in arthritis models for targeting TNFα.
10– 19 However, there are still several issues to overcome, such as the introduction of conformational flexibility in the generation of near-native models for targets with large conformational changes.
