The phrase "absence of regularity" is correct and usable in written English.
It can be used to describe a situation or condition where there is a lack of consistency or predictability.
Example: "The absence of regularity in the data made it difficult to draw any meaningful conclusions."
Alternatives: "lack of consistency" or "unpredictable nature".
Given this, it was not possible to explore variations in accuracy as a function of the presence or absence of regularity (as per our first prediction).
In [14], the joint estimation of the DOA and the polarization state in the case of the vector sensors in the absence of regularity is studied.
The capacity to detect the presence or absence of regularity allows us to simplify or reduce sets of observations to their underlying rules and laws.
It is represented by a set of ordinary differential equations: d y i (t ) d t = ∑ j = 1 n w i j y j (t ) + b i where y i (t) is the intensity level of node i at time t; n is the number of measured nodes; b i is the constant output observed in the absence of regularity inputs and w ij is the coefficient representing the influence of node j on the regulation of node i.
Necessity is psychologically essential to ascriptions of responsibility, because in the absence of the relevant regularities and inferences, the regular mechanism which produces our moral sentiments would simply fail to function.
In the analysis and design procedure, the regularity and absence of impulses of the filtering error system are studied simultaneously.
Different from other regular systems, singular systems are more general and complex owing to not only the stability are need to be considered, but also regularity and absence of impulses or causality is need to be considered.
In the absence of a global well-posedness theory, the development of regularity criteria is of major importance for both theoretical and practical purposes.
The proposed approaches derive sufficient conditions such that the regularity and the absence of impulses are assured as well as the stochastic stability and robust stochastic stability.
I want to create that kind of regularity.
If the causal relation is a mere matter of regularity, why can't the regularities hold between facts?
