Sentence examples for negative recognitions from inspiring English sources

We reported the effectiveness of our methods with the commonly used information retrieval metrics, namely, precision (P), recall (R) and F1 score defined as follows: P = T P T P + F P, R = T P T P + F N, F 1 = 2 * P * R P + R, where TP, FP and FN are the numbers of, respectively, true positive, false positive and false negative recognitions.

Sadly, then, I alert readers to a few books that are widely encountered but earn negative recognition.

On the other hand, students in their 20s did not mention the economic benefits, but they have a rather negative recognition about spending for up-cycling.

"When they're very intrusive, it might be better for developers to not display advertisements in apps when customers are complaining about it, because that gives you negative recognition".

Note that in Equation 3, the number of spectral points in the assigned sub-band range is always greater than or equal to 2 because the cepstra associated with a single spectral point quite often result in a rather poor (even negative) recognition accuracy.

These include false positive and false negative recognition issues arising from ambiguous names and from synonym and spelling variants, respectively.

The findings revealed that there was a significant difference in similarity ratings for positive and negative recognition memory items in the positive scenario condition but not the negative scenario condition.

Thus by transferring the archaeal tRNA Tyr -TyrRS pair to E. coli and engineering additional negative recognition elements into Mj tRNA Tyr for the bacterial aminoacyl-tRNA synthetases, one can generate a highly orthogonal pair that can be evolved to encode noncanonical amino acids with high translational fidelity.

Sensitivity is defined as the true-positive recognition rate: number of true positives / (number of true positives + number of false negatives), whereas specificity is defined as the true-negative recognition rate: number of true negatives / (number of true negatives + number of false positives).

These changes have been attributed to disturbance of the STN's limbic territory and would appear to confirm that the negative emotion recognition network passes through the STN.

In people with schizophrenia, such emotion-specific deficit is caused by aberrant neuronal processing in brain regions that specifically modulate negative emotion recognition [ 7, 8].