Sentence examples for challenging estimation from inspiring English sources

Finally, results and future work are discussed in Section 5. Due to limitations of the blind or the semi-blind approach for challenging estimation problems like audio source separation, recent methods have considered the usage of side information to improve the resulting quality for practical applications[9, 10].

The first involves the use of Bayesian model averaging (BMA) to address this challenging estimation problem, as a different homogeneous-dependent model can provide the same goodness-of-fit for the data but with substantively different estimates [ 7].

The 2-dimensional system X ˙ 1 = 3 X 2 − 2 − X 1 0.5 X 2 X ˙ 2 = X 1 0.5 X 2 − X 2 0.5 exhibits oscillatory behavior that is challenging for estimation purposes, leading to difficulties of standard algorithms in finding good solutions.

To further challenge the estimation procedure, an eight-gene network was simulated and estimated.

However, the substantially increased number of parameters for complex signaling pathways would challenge parameter estimation using psychophysical data from QST.

Immediately after running PPH scenarios, the staff members were challenged on estimation of the actual blood loss and this training might explain why the estimates remained high in 2011.

However, neither condition was associated with a majority of cases of anemia, which may challenge the estimation that 50% of cases of anemia in malaria-endemic areas is caused by iron deficiency.

The complex anatomy of the joint together with the frequent finding of complex patterns of structural lesions that occur in combination on the same MRI slices may also challenge reliable estimation of extent of involvement that is based on number of erosions per joint or percent of subcortical bone affected.

The strongly scattering nature of the indoor environment makes the pairwise distance or travel time estimation challenging.

The computational complexity of disparity estimation algorithms and the need of large size and bandwidth for the external and internal memory make the real-time processing of disparity estimation challenging, especially for High Resolution (HR) images.

It is challenging for density estimation methods that do not incorporate the spatial information to distinguish between invalid regions and areas that have not had any crimes but are still likely to have events.