Sentence examples for more robust prediction from inspiring English sources

This modification of the data set enabled the development of a much more robust prediction model (model 2) which predicted correctly the initial parts of the progress curves.

Linear regression between urban and population growth offered a more robust prediction of urban growth in Morelia.

Ensemble models were also developed that combined the predictions of the two modelling approaches to obtain a more robust prediction.

Compared with the single model, the new ensemble model can provide more robust prediction results and can be considered to be an alternative choice for quantitative analytical applications.

In the last two decades, academicians have taken an increasing interest in the software defect prediction problem, several machine learning techniques have been applied for more robust prediction.

Technically, the implementation of high-throughput sequencing analysis and genomic technologies are rapidly becoming part of standard practice, which may ultimately allow a more robust prediction of response to immune checkpoint blockade.

A bootstrap method was incorporated to estimate uncertainty and generate more robust predictions of performance.

We propose to filter near-black and near-white colors during model generation to obtain more robust predictions.

For situations involving random parameters close to a critical point, the computational implementations show that the Wiener–Haar (WHa) representation provides more robust predictions that those based on a Wiener Legendre (WLe) decomposition.

We recommend a more standardized approach for measuring bait availability prior to eradication to provide more robust predictions of the rate at which bait availability will decrease during the eradication and to facilitate future comparisons among projects and islands.

Different statistical approaches for predictive habitat modelling possess varied strengths and weaknesses and by examining the outputs of a range of modelling techniques and their differences, more robust predictions, with better described variation and areas of uncertainties, can be achieved.