Sentence examples for expensive prediction from inspiring English sources

The MDO will be more expensive (prediction: about 60 70 % more expensive than 1.0%% of oil; price difference largely the same).

This easily leads to tens of thousands of predictions that have to be made, and rules out the use of very computationally expensive prediction approaches.

Since the pk168 dataset contains shorter sequences than the RS-pk388 dataset, more accurate but computationally expensive prediction algorithms can be applied to this dataset.

Latest fortune for Ying Liu, a Queens fortuneteller: You will be arrested, hauled into court and accused of making expensive predictions that did not come true.

Unbiased screening for phosphorylation sites by in vitro or in vivo experiments is time consuming and expensive; in silico prediction can provide functional candidates and help narrow down the experimental efforts.

Since experimental determination of such missing enzymes and their relevant pathways is very difficult and too expensive, in silico prediction of such enzymatic reactions in the metabolic network is a challenging area in computational biology.

Furthermore, computation-wise, it is relatively expensive to get predictions from a BNN, which requires computing the average predictions of many models.

In contrast with labor-intensive and expensive experimental approaches, computational prediction of S-nitrosylation sites is potentially a convenient and fast-speed strategy to generate useful information for subsequent experimental verification.

Since MRI is an expensive diagnostic tool, good prediction rules may help to select those children who need to undergo an MRI screening.

However, feature representation for the algorithm required vectors with several thousand entries, making its use computationally expensive for full-genome prediction.

However, discrete shells are favorable because they allow statistics to be gathered over the relevant volumes and calculation is relatively efficient, which allows FEATURE to serve as an initial filter for more expensive structure-based function prediction methods.