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Intuitively, when selecting multiple target fields for forecasting, it makes sense to use strongly correlated fields to build forecasters.
This is indeed consistent with our hypothesis that using multiple target fields can help improve the forecasting results.
All the benchmark methods jointly model multiple target fields simultaneously and capture different dependencies between the topics we choose.
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Due to the presence of multiple target in the monitored field, the first goal is to determine sets of sensors, namely ({mathcal {S}}_{rho,t}), that acquire information bearing measurements about the ρth target.
To improve the gains made in selection may require very extensive and costly field testing in multiple target environments (Wissuwa et al., 2009).
Image-based vibration measurement techniques allow to remotely measuring the displacement of multiple targets in the field of view, without the need to mount anything on the measurand.
Multiple target tracking has therefore become an important field in computational vision as well as psychology, where it pertains to issues such as the degree to which attention can be divided.
Recently, the increased numbers of miRNAs' analysis and their multiple target validation in different contexts of breast cancer are attaining a strong insight in the field of miRNA based diagnosis and therapy for breast cancer and bone metastasis.
Multiple Target Ligands.
Multiple Target Ligand Database.
Rao-Blackwellized has been used for multiple target tracking.
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