Sentence examples for measuring inconsistencies from inspiring English sources

The authors say that " current methods for estimating HGT rely on measuring inconsistencies between sequence trees or looking for unusual compositional features, so there is no way for them to distinguish between innovations and displacements".

Current methods for estimating HGT rely on measuring inconsistencies between sequence trees or looking for unusual compositional features [ 16], so there is no way for them to distinguish between innovations and displacements.

This paper presents two approaches to measuring inconsistency for stratified knowledge bases.

A number of proposals have been proposed for measuring inconsistency for knowledge bases.

We apply the framework presented to the problem of measuring inconsistency in knowledge bases, putting forward relaxed forms for two debatable postulates for inconsistency measures.

Since we are measuring inconsistency, we score 1 if the condition is false, 0 otherwise.

Last but not the least, investigating the sources of heterogeneity as well as measuring inconsistency of the results across studies is a critical part of meta-analysis [ 48, 49].

Using additional tautomeric rules (see Appendix C for details) decreases measured inconsistencies.

However, because we have not measured inconsistencies within subjects with a motivation to lie it remains possible that higher levels of inconsistency may, in fact, be indicative of lying.

This model measures inconsistency in terms of obsoleteness in the data with number of missed updates.

We tested for heterogeneity with the Cochrane Q test and measured inconsistency (I2; the percentage of total variance across studies that is due to heterogeneity rather than chance) of treatment effects across all clinical endpoints and averse effects [22], [23].