Sentence examples for error knowledge from inspiring English sources

Exact(5)

The marriage cannot continue, the puppies must be put down (cut-rate cremation available), the stoned waiter will make the crucial error, knowledge cannot be rescinded.

He then argues that since all physical measurements are subject to error, knowledge of natural laws is possible only if errors occur subject to a probability distribution, a proposition that is synthetic but cannot be established empirically.

The provision of spatio-temporal standard errors with the retrospective dataset is particularly useful for subsequent modelling applications where input error knowledge can help reduce the uncertainty associated with modelling outcomes.

Age was negatively correlated with perceived medical error knowledge.

A potential learning need to develop educational solutions for the primary care workforce to strengthen human error knowledge, whole system awareness, team working and internal communications is also apparent.

Similar(55)

Using the local neighbor-error knowledge, a novel ultra-fast protocol with multi-step predictive information and self-feedback term is proposed.

4 Of the available taxonomies used to classify ambulatory medical errors, most use Reason's framework of contributive and causative factors to make the distinction between human errors (knowledge deficiencies) and system errors (communication, process and organisational problems).

Individual student's misunderstanding can be diagnosed by using the synthesis map as a formative assessment tool and looking for errors in knowledge structure, errors in content, or omission of content (McClure et al., 1999).

This model and any future model with specified error statistic knowledge are more appropriate for GDAS.

But in real world, several diverse situation occurs such as uncertain judgements, unpredictable conditions or human error, incomplete knowledge and information etc, due to which it is not necessary that we get a relevant precise data for the reliability system.

The idea is to stop the search as soon as there is enough probabilistic evidence about the targets' locations, given an operator-prescribed error tolerance, knowledge of the sensors' parameters, and a sequence of detection signals from the sensors.

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