Sentence examples for of joint data from inspiring English sources
Thus, the problem of interest is formulated as one of joint data placement and flow control, and mixed integer-linear programming is used to compute the optimal solution.
Due to the usual multimodal nature of joint data, previous methods typically used a two-step procedure where homogeneous joint sets are first identified and then a parametric distribution is estimated separately for each set.
Other modeling issues covered include: modeling of joint data (e.g., PKPD models), covariate models, mixture models, hidden Markov models, and stochastic differential equation-based models.
He advocates for joint data acquisitions of the two modalities, especially for the clinical evaluation of epilepsy, where EEG has set the standard in clinical electrophysiology.
This data set exhibited relatively small SNP numbers (Fig. 1), which averaged 37%% of those featuring the smaller of the joint data sets (PV_Joint) across genotype missing data thresholds.
At the other extreme, approximately 86.4% of our joint data falls into the lower bins in both dimensions (versus an expected value of 74.3% assuming independence).
LifeLines is involved in the EU BioSHaRE consortium and one of the joint data analyses being conducted by BioSHaRE is the 'Healthy Obese Project' (HOP) that examines why some obviously obese individuals are still metabolically healthy (23).
Benefiting from the new formulation of correlation weight joint data vector, the method does not need to calculate the noise subspace dimension before estimating the InSAR interferometric phase, thus the introduced trouble will be avoided.
More reliable data should result from the European surveillance network (EUVAC-NET) recently constituted with the aim of providing a joint data base with a uniform measles disease classification [ 9, 10].
Figure 1 Formulation of the correlation weight joint data vector.
In this work, we propose a novel approach that utilises continuous streams of joint motion data for recognising and predicting actions in linear latent spaces operating online and in real time.
