Sentence examples for minimise the complexity from inspiring English sources

In the spirit of making our model as simple as possible, but not any simpler, the choice of nodes and interactions was made so as to minimise the complexity without losing essential information.

We accept the criticism of some authors who state that measures of dental anxiety that are restricted to a single dimension tend to minimise the complexity of the multifactorial phenomena that characterises the dental anxious individual [ 14, 52].

For maintaining clarity and minimising the complexity of the ensemble, we use the condensed version described in Tyson et al. 2011 [ 49].

The two previous equations may be simultaneously implemented in order to minimise the estimator complexity, thus the final CIR estimate presents non-null elements and zeros in the remaining [26].

"I'm aware that not everyone has squillions in the bank, so I'm developing a furniture range [to be exhibited in Glasgow's Collins Gallery] that minimises some of the complexity and intensive labour but is just as aesthetically pleasing".

The advantage of using a simple target detection paradigm to investigate frontoparietal function is that it enables the selectivity of the BOLD response to be examined whilst minimising differences in the complexity of the current task parameters.

Target detection paradigms, in which the individual monitors a sequence of distractor objects for a learnt target stimulus, allow the effects of the relevance of the attended stimulus to the current task set to be examined whilst minimising variations in the complexity of required task parameters from one condition to another.

The trial was designed to minimise bias [ 19] but the complexity of the trial meant it could not be fully blinded, as recruiters knew practice allocations in some cases.

Other research suggests that decision-support tools, and by extension research tools, may be more effective where they minimise 'cognitive complexity' for the decision-maker (see Tompkins et al. 2008).

The decoding algorithms for MIMO systems are usually very complicated and, therefore, it is desirable to minimise the channel estimation and tracking complexity.

Understanding the role of the nonlinearity in the model enables us to minimise unnecessary model complexity, which decreases both the sensitivity of the model and the number of parameters.