Sentence examples for incorrectly accepting from inspiring English sources

The FAR is the likelihood of incorrectly accepting an impostor, while the FRR is the likelihood of incorrectly rejecting an individual in the training set.

As we have seen above, lots are either conforming or non-conforming, and for the consumer for instance, incorrectly accepting the non-conforming lot committing the false negative can be disastrous.

We next performed simulations to answer the converse question: given a known power law distribution of data, what is the likelihood of incorrectly accepting exponential fitting?

This formula calculates a 0.053% probability of incorrectly accepting a product as misexpressed in hybrids.

It is harder to estimate the chance of incorrectly accepting a non-authentic (substituted or adulterated) sample as authentic beef (i.e. of incorrectly accepting H0, a Type II error).

These effects might affect the probability of making a type II error (incorrectly accepting H-0) but they cannot cause the making of a type I error (incorrectly rejecting H-0).

(ii) Sentences containing the words for repairing the semantic slots which may be incorrectly accepted in previous dialog turn: These sentences are used to model the DSs with repair ability.  .

Sentences containing the words for repairing the semantic slots which may be incorrectly accepted in previous dialog turn: These sentences are used to model the DSs with repair ability.

On the other hand, Repair DSs are used to represent the sentences which are trying to repair the semantic slots which had been incorrectly accepted in previous dialog turn.

With limited and passive information submitted by a potential borrower, which could be biased and lead to information asymmetry, traditional credit evaluation may incorrectly accept a loan application from a borrower with high credit risk (false positive), or reject a loan application from a borrower with low credit risk (false negative).

In doing this, subjects might have found the manipulated photos with less change, and thus smaller Delta-E values, were more similar to their prior expectations of what the world looks like resulting in those photos being incorrectly accepted as authentic more often.