Sentence examples for interactive correction methods from inspiring English sources

Manual correction ((R_{text {GT}}^{man})) is compared against the threshold-based ((R_{text {GT}}^{thres})) and percentile-based ((R_{text {GT}}^{pctl})) interactive correction methods.

Fully automatic tools are complemented with intuitive methods for interactive correction (Peng et al., 2011) and validation, greatly increasing the utility of new and existing algorithms.

POEAS also offers interactive options to identify user-defined background population sets, various multiple-testing correction methods, different enrichment calculation methods, and resampling tests to improve statistical significance.

POEAS also offers interactive options to identify user-defined background population sets, various multiple-testing correction methods, different enrichment calculation methods, and resampling tests to improve statistical significance (Fig. 1).

These errors can be overcome with increased user interaction, either during the initialisation phase or with interactive correction tools.

The chapter closes with a discussion on six correction methods: depth correction, block coefficient (Cb) correction, bow height correction, superstructure correction, sheer correction, and strength correction.

I. Standard temporal motion and physiological noise correction methods.

We have developed global correction methods to overcome this problem.

Ritchie, M. E. et al. A comparison of background correction methods for two-colour microarrays.

The geometric intuition provided by the study leads us to design new bias correction methods.

Effects of Compton scattering and simple scatter correction methods in SPECT. A. Co. Med.