Sentence examples for return an output from inspiring English sources

UniChem continued to return only the preferred output identifier for most metabolites but, even with four input identifier types combined, it did not return an output identifier for all metabolites.

The efficiency of a machine \(M\) is measured in terms of its time complexity – i.e. the number of basic steps \ time_M x)\) required for \(M\) to halt and return an output for the input \(x\) (where the precise notion of 'basic step' will vary with the model \(\mathfrak{M}\)).

This measure may be converted into a function of type \(\mathbb{N} \rightarrow \mathbb{N}\) by considering \(t_{M}(n) = \max \{time_M x) : \lvert x\rvert = n \}\) – i.e. the worst case time complexity of \(M\) defined as the maximum number of basic steps required for \(M\) to halt and return an output for all inputs \(x\) of size \(n\).

Starting with the G-actin concentration at the leading edge, c(0) in Equation (1), the coupled equations eventually return an output value for c(0) with Equation (21).

The SNVDis tool uses this information to return an output table with all human proteins containing nonsynonymous substitutions at the active site.

The search will return an output table with all unigene hits and the information that was selected in the attributes form.

A supervisor which is a function that returns an output vector y for every input vector x, according to a conditional distribution function P y|x).

In a typical AI-human workflow, the human feeds input data into the algorithm, the algorithm runs calculations on that input data and returns an output that predicts a certain outcome or recommends a course of action; the human interprets that information to decide on a course of action, then takes action.

An FSM always has a single current (origin) state s i ∈S which changes to destination (tail) state s j ∈S by applying an input x∈I where s j =δ(s i,x), and returns an output y=λ(s i,x).

R1 represents the number of runs for which the algorithm returns an output.

D1 gives the number of datasets for which the algorithm returned an output, irrespective of whether this output is correct or not.