Sentence examples for classifications to reduce from inspiring English sources

19 Fieldworkers were trained for 10 weeks on sample collection and anthropometry protocols, and they were blinded to the household environmental classifications to reduce the potential for biased outcome assessment.

Data pre-processing methods are investigated to enhance fault classification, to reduce the complexity of the neural network and to facilitate the learning procedure.

In order to simplify the pN classification, to reduce methodological errors and to achieve a higher reproducibility, the UICC has presented in 1997 a new classification system based on the number of involved nodes (Sobin and Wittekind, 1997).

In order to simplify these classifications and to reduce the number of subgroups for correlations with Ki-67 LI values, we preferred to subdivide the tumors of our series into microadenomas, intrasellar macroadenomas, intra-suprasellar macroadenomas, and intra-supra-parasellar adenomas, including in the last group also pituitary adenomas infiltrating the wall of cavernous sinus.

An open-ended question was used as opposed to an existing patient safety taxonomy or classification system to reduce biasing respondent answers.

A finite state automaton has been designed to give a robust classification and to reduce the number of false or missed blobs.

However, classification tests indicated that this does not hold for the LDC corpus where dropping information about the second and third formants caused the classification accuracy to reduce from 62.6% to 57.5%.

It develops a dynamic classification method to reduce the time complexity of cache inquiry, which achieves a higher caching hit rate in comparison to random classification method under dynamic change of content popularity.

It needs to be noted that the off diagonal components converge to small values when compared to the diagonal components; therefore, diagonal covariance matrices are employed at classification stage to reduce the computational complexity.

A new approach is presented for analyzing gas mixtures by transforming the problem into a pattern classification one to reduce the effect of the poor repeatability of sensor response on the prediction of gas concentration.

The method includes a requirements classification system to ensure that all requirements information can be included in the Axiomatic Design process, a stakeholder classification system to reduce the chances of excluding one or more key stakeholders, and a table to visualize the mapping between the stakeholders and their requirements.