Sentence examples for random detection from inspiring English sources

However, initial results for this approach proved the base rate fallacy: essentially outlining that our initial assumption for the random detection still being able to detect the anomalies is false.

In other words, following the Bayes theorem, attempting to detect anomalies using this form of random detection has the following property: P ( anomaly | rand ) = P ( rand | anomaly ) ∗ P ( anomaly ) P ( rand ) (8).

"They had a random detection rate.

The first approach we used was implementing a naive random detection module, which simply randomly passed any value that was flagged to be passed to the context detector.

We randomly selected 20 microarrays from as-prepared microarrays and validated them with control sera; the random detection results were consistent with corresponding control sera (Fig. 5).

First of all, they raised the question if sensors were enabled to observe detection area at the maximum while minimizing move time, moving distance of sensor and complexity of message for a random detection area.

In the context of the HIV epidemic in Cuba, contact tracing exhibit only partial results of the partnership networks, filtered through non-random detection of infected individuals, recall bias of these infected individuals, tracing and testing of the contacts, timing of the tracing and testing, etc.

Table 4 Analytic form of probabilities for legitimate and random edge detection   Legitimate edge detection Random edge detection TP P · Q + ρ · σ p · σ q = P · SE P · Q FP P' · Q - ρ · σ p · σ q = P' · SP' P' · Q FN P · Q' - ρ · σ p · σ q = P · SE' P · Q' TN P' · Q' + ρ · σ p · σ q = P' · SP P' · Q'.

Similarly, the chance-expected weighted proportion of agreement has the form Table 1 Probabilities for legitimate and random edge detection   Legitimate edge detection random edge detection TP d1,1 = P · SE c1,1 = P · Q FP d1,2 = P' · SP' c1,2 = P' · Q FN d2,1 = P · SE' c2,1 = P · Q' TN d2,2 = P' · SP c2,2 = P' · Q'. (12).

This mechanism is performed at the core router by means of a queuing algorithm, such as weighted round robin (WRR), weighted fair queuing (WFQ), weighted random early detection (WRED) and random early detection (RED), with an input and output queue (RIO) [26, 27].

The binaural average of random gap detection thresholds is expressed by the following equation: (binaural gap detection threshold at 500 + 1000 + 2000 + 4000 Hz + clicks)/5.