Sentence examples for minimises the information from inspiring English sources

Results show that our method produces masked datasets that better minimises the information loss resulting from the data transformation.

This data transformation produces a loss of information with regards to the original dataset which affects the utility of masked data, so, the aim of microaggregation algorithms is to find the partition that minimises the information loss while ensuring a certain level of privacy.

I ask her to conduct the reading at the beginning of our meeting, to minimise the information I might have given her in advance.

In an introduction to the website, Boothroyd writes: "Unlike some other political sites, this site doesn't go in for minimising the information to 'major parties' only, using flashy graphics that distract from the content, compromising its impartiality by accepting sponsorship, or including irrelevant party propaganda.

Incident cases were histologically confirmed and categorised according to the Working Formulation, in order to minimise the information bias resulting from disease misclassification.

In this large, population-based case control study, trained interviewers used in-person, standardised, and structured interviews to minimise the information bias resulting from exposure misclassification.

Partitioning is performed progressively and the interactive visual matrix presentation used allows the user considerable control over the process, while incorporating special strategies to maintain the network integrity and minimise the information loss due to partitioning.

As part of the RCT, unit managers were instructed to minimise the information they gave staff in order to prevent unmasking of the researchers to the unit's allocation as an intervention or comparison unit.

The algorithm then minimises the Akaike information criterion (AIC) to determine the values for the order of autoregressive terms p, and the order of the moving average process q.

Bandwidth, an important parameter for GWR, controls the degree of smoothing; the preferred bandwidth is determined by the interaction between the bandwidth and the complexity of the model, and there are usually two automatic methods for finding the bandwidth: CV, which minimises a cross-validation (CV) function, and AIC, which minimises the Akaike information criterion (AIC).

The independence assumption provides this additional information, and one tries to design a reverse transformation by minimising the mutual information between estimated sources.