Sentence examples for ambiguity in data from inspiring English sources

The use of CAD data exchange standards causes the loss of design intent such as construction history, features, parameters, and constraints, whereas existing research on feature-based data exchange only focuses on class-level feature definitions and does not support instance-level verification, which causes ambiguity in data exchange.

Though some solutions to current ambiguity in data usage and human rights may include a code of ethics, standards of operation, and a diversity in data, the discussion proved to be a catalyst for further discussions on human dignity, privacy, and ethics.

In addition to the greater ambiguity in data interpretation as LRs approach the threshold for gene conservation, the continuous character approach negates the functional distinction that can be made between gene absence and gene divergence events.

Raw data for problematic markers were reviewed using BeadStudio and then either the marker was discarded entirely if any ambiguity in data calling could not be resolved or individual genotype calls were modified if it was plainly evident that such adjustments were warranted.

9 11 31–37 All cases that demonstrate ambiguity in data definitions or outcome data will initially be discussed with site investigator; if ambiguity persists, the principal investigator and a locally convened panel of the research team will review, and consensus sought.

Kim et al. [23] revisit the MHT technique in a tracking-by-detection framework and propose a novel and more efficient MHT algorithm, which embeds online learned appearance models for each track hypothesis through a regularized least squares framework, and hence achieves pruning the hypothesis space more effectively and accurately so as to reduce the ambiguities in data association.

The rough set theory was developed to deal with ambiguities in data [ 30, 31].

Indeed, although sophisticated bioinformatics is deployed to reach the highest confidence of proteomic identification and quantification, important ambiguities in data interpretation persists; the observed increase, decrease, or absence of changes in the abundance of peptide phosphorylation need to be interpreted carefully.

Due to the ambiguity in input data, imprecise input information and concept drift, some problems arise in classifying the data stream.

This prototype is offered as a first step towards a strategy for countering semantic ambiguity in the data and query content, providing a viable path for publishing legacy spatial data holdings in a future Geospatial Semantic Web.

For each of the sites in this study, some of the analyses were limited by sparseness or ambiguity in the data sets.