The following procedure was adopted to interpret error-aware geospatial data files and build conduit (e.g. pipe) models in the augmented space.
Here, we add another task to this list by interpreting error-correction by a recurrent neural network in the language of computational graph theory.
□ The error estimate presented in Lemma 1 enables us to interpret the error for any choice of (S, k h ) and k, enabling the derivation of different permutations.
In this analysis, standard deviations of error in natural log-transformed variables can be interpreted as error CVs in the untransformed concentrations.
Quantifying and interpreting measurement error and reliability has proven difficult in the biomedical literature [ 12, 13].
Presenting and interpreting random error has been a subject of heated debate ever since the introduction of the P value and the concept of statistical significance [ 1].
A declared error of 0.2 errors/base, applied to data with an actual error of 0.1 errors/base and a low tree scaling (so that nonerror SNPs were rare), caused essentially all of the variable sites to be interpreted as error, resulting in extremely short branch lengths and randomized topologies.
They interpreted this error as because due either to the inherent inaccuracy of the noninvasive ICP measurement or to the uneven distribution of CSF in cases of brain trauma and midline shift, in which the ICP of the intraparenchymal probe may differ from that affecting the blood flow in the area of the middle cerebral artery.
How does one interpret this new error message?
Previous primary care studies have demonstrated large differences in the number of errors reported by individual physicians, even within the same practices[ 12, 20] and research in hospitals has found differences in how health care workers interpret terms like error, incident and event[ 21, 22].
The algorithm used in our study was tested on 4320 example trials showing an overall reliability of more than 90% (trials not recognized at all were interpreted as errors).
