Sentence examples for a false decision from inspiring English sources

A false decision is occasionally caused by the erroneous EM-based GMM estimation in the intersection regions where they have somewhat low likelihoods.

Since the unavoidable cost of hypoxia is closely linked to the presence of a predator and the enlargement of the external gills compensates for that cost, the induction of gill enlargement by predator cues is unlikely to turn out to be a false decision.

In order to this, RNA-seq was performed with floral buds and mature flowers from two different watermelon lines [genic male sterile (GMS) line, DAH3615-MS, and male fertile line, DAH3615], because two different stages of organs would be reduced to make a false decision for understanding the mechanisms.

To avoid any false decisions, due to high reverberation environment or acoustical noise, a long-term floor function,, is employed to the ceiling function according to (7).

Since we assume that all the malicious nodes collude to raise the ratio of the votes supporting a selected fake MAC address, false decision is made when the aggregate number of votes from the adversaries exceeds 50% of the total valid votes.

Potential harms of prenatal screening include a false reassurance, decision stress, anxiety especially as a result of false-positive outcomes, and the risk of losing the pregnancy as a complication of invasive follow-up testing.

If the overall test statistic is larger than the critical boundary we get a false positive decision, which leads to the following inequality: leading to Since and have independent standard normal distributions for every set of values, r0,, and (and hence are independent of these quantities), the conditional error can be written as in formula (1).

False positive (FP), the number of false decision related to positive emotion by automated system.

True negative (TN), the number of true decision related to negative emotion, and False negative (FN), the number of false decision related to negative emotion.

Figure 10 compares the false decision probability obtained by EMR-ARP with that obtained by MR-ARP for various numbers of adversary nodes under the condition described above.

In more detail, we compare the proposed EMR-ARP scheme with MR-ARP [13] in terms of the false decision probability in the presence of attackers.