Sentence examples for making prior assumptions from inspiring English sources
"We try to avoid making prior assumptions and complex corrections.
Individually categorising these values per time step makes, on the one hand, the categorisation task more difficult but, on the other hand, delivers a categorisation without making prior assumptions about the temporal characteristic.
From a computational perspective, this approach offers three significant improvements over state-of-the art OFC models for neuromotor control: We can model adaptation processes due to modified dynamics conditions from an optimality viewpoint, without making prior assumptions about the source or nature of the novel dynamics.
Interestingly, this attenuation can occur without the full completion of the action, presumably because the nervous system makes prior assumptions about the sensory consequences [44].
Modules were grouped by the cluster algorithm CLICK, which does not make prior assumptions and avoids potential biases of the relatively limited CpG loci available here since they do not require pre-determined seeds [42].
The third method, 'BayesB' makes prior assumptions on the amount of genetic variance and the distribution of gene effects, and breeding values are estimated from the data points by Bayesian methods.
A key feature of this methodology is that it does not make prior assumptions about the type of pathogen, but has the potential to detect RNA from all species.
Unless there are strong reasons to make prior assumptions about the form of the response of the series to the intervention, simple transfer functions should be used to model this response.
The use of Machine Learning technologies to do this provides the advantage of making no prior assumptions about the nature of the data and eliminating natural bias associated with data processing carried out by humans.
This means that theorists working on it believe the laws of nature can be stated without making any prior assumptions about the geometry of space and time.
This method equally weighs the classifiers, without making any prior assumptions about the quality of each data source.
