Sentence examples for prohibitive data from inspiring English sources

Because of prohibitive data storage requirements in large-scale simulations, the memory problem is an obstacle for Monte Carlo (MC) codes in accomplishing pin-wise three-dimensional (3D) full-core calculations, particularly for whole-core depletion analyses.

Nevertheless, these parameters effect the runtime of the application and have to be considered during the job configuration (e.g. changing the replication of a huge file in a distributed file system may require prohibitive data transfers), but they may impact the job configuration process.

While the cost of sequencing is becoming less prohibitive, data analysis remains a challenge for many biologists, mainly due to limited computational resources [ 11].

Usually, AL follows an iterative scheme, and the search of new samples relies on the whole image, resulting in that an approach may turn out to be prohibitive when the data sets are huge, e.g., hyperspectral data.

He also understands the need "to preserve the selective blindness accomplished by cash", and believes that, in an information economy, privacy is always securable simply by making the cost of your personal data prohibitive.

However, the lack of conjugacy between the two-level HDP means that a truly variational Bayesian (VB) solution is difficult for HDP-HMM, which makes computationally prohibitive in large data problems.

However, current estimators of information content in continuous signals are typically based on assumptions about the system's linearity and signal statistics, or they require prohibitive amounts of data.

The statistical challenge stems from the prohibitive amount of data needed for multiple hypothesis testing.

This statistical conundrum stems from the prohibitive amount of data needed to account for multiple hypothesis testing.

The propagation of the control relationships to all entities becomes prohibitive for large data sets, especially if they are rapidly evolving and the control relationships have to be continuously updated.

Third, the authors suggest, in the Conclusions, that the popular notion of the prohibitive noisiness of microarray data stems from the deterministic view of biological data, in other words, disregard of intrinsic, biological noise (to me, this looks like better terminology than that used by the authors).