Sentence examples for causality detection from inspiring English sources

Error reduction ratio causality, a new nonlinear causality detection approach, is being proposed in order to assess the correlation of each measured variable to the variation of workload.

Moreover, a probabilistic causality detection method based on the sequential forward floating search (SFFS) method is introduced for diagnosing poor or non-optimum behavior.

This section presents the experimental results for causality detection.

This section presents the comparative results of using different feature sets for causality detection.

The test set was used to evaluate the performance of causality detection.

Figure 6 shows the F-measure of causality detection for different percentages of selected patterns.

The strong association with recent cholecystectomy might be explained in part by reverse causality or detection bias.

Exclusion of the 1 year before case control selection minimised the possibility of reverse causality and detection bias that could result from increased medical surveillance around the time of cancer diagnosis.

We conclude that high-resolution imaging at ultrahigh field, signal extraction via self-organizing map, and appropriate use of Granger causality permit the detection of small timing differences in fMRI data, despite the intrinsically slow hemodynamic response.

This section describes the use of inter-sentential language patterns to detect causality between sentences, focusing on the detection of implicit cause-effect relations.

However, geographical and environmental information tend to be highly correlated, complicating the detection of the causality of genetic structure.