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Planning cost-effective noise abatement measures can be improved by computer simulation.
The results indicate that the cost-effectiveness of AEP measures can be improved by spatial targeting.
The performance of evaluation measures can be improved using a combination of single measures.
The acceptability of policy measures can be improved when the environmental and economic implications of alternative measures are shown in conjunction.
Such mitigation measures can be improved upon and supported by the fatality dataset and the understanding of threat with distance.
The use and interpretation of clustering agreement measures can be improved by the estimation of suitable confidence intervals (CI).
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This database will be invaluable for comparative audit, clinical practice and managing services because only that which is measured can be improved.
Measuring how much recall and, consequently, the F measure can be improved through different machine learning can be another aim for future research.
Though our current system has much room for improvement, our system is valuable in showing that the performance in term of balanced F-measure can be improved largely by utilizing large amounts of relatively inexpensive un-annotated PubMed abstracts.
Though our current system has much room for improvement, our system is valuable in showing that the performance in term of balanced F-measure can be improved largely by utilizing large amounts of relatively inexpensive un-annotated PubMed abstracts and optimizing the cost parameter in CRF model.
Because the correlation is sensitive to the SNR in the image data, the accuracy of the correlation measure can be improved by weighting the correlation of Fourier components according to their SNR.
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