Sentence examples for low number of rules from inspiring English sources

Part of the explanation for the low number of rules might be that the participants were uncertain about the contents of the guidelines and were therefore less willing to talk about them.

Note that the knowledge discovered for each target value of risk level is understandable by physicians due to the use of fuzzy logic and the low number of rules and conditions in the rule antecedents (below 40% of 26 patient features).

Another reason for the low number of rules might be that the instructions did not encourage the participants to explain their decisions, but simply to state aloud their thoughts about the presented information, which is generally considered as the best method to ensure that the verbal protocols reflect the cognitive processes of interest [ 13].

A single high-dimensional and large rule base is replaced by a collection of low-dimensional rule bases with small number of rules.

The relatively low number of patients with poor outcome ruled out the possibility of performing a multivariable analysis in which all variables of interest were included.

However, the low number of sequence reads does not rule out that they could be expressed at a high level in specific cells.

None of the nodes in the catenated analysis is supported by a low number of individual genes, and the majority rule consensus of the individual locus phylogenies is the same as the concatenated analysis.

Negative results in this low number of PCR-tested animals can not rule out some possible involvement of roe deer in the epidemiology of this disease, or at least some potential of the roe deer as an indicator of environmental contamination by MAP, as already suggested for toxoplasmosis [ 31].

Because of the dual use of simplified physically based equations and data-driven techniques, the ANFIS consist of very few rules with a low number of input variables.

However, due to the low number of discontinuation events we are unable to rule out the possibility of a clinically important effect with SSRI treatment as the S allele may be associated with up to a 42% increase in odds of discontinuation or a 17% reduced odds (OR 1.09, 95% CI 0.83 1.42).

Carrying-over was ruled out due to the low number of PCR positive samples and the differences in the amplicon sequences.