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After discretizing the real value attributes, decision rules were calculated through the decision rule generation algorithm for glacier mapping.
Rules were calculated for each reaction with diameters ranging from 2 to 16. Table 2 below provides the number of compound generated running RetroPath2.0 for one iteration on the metabolites of the iJO1366 model and the rules sets mentioned above (see "Methods" section for additional details).
Two new prediction rules were calculated using this two adjusted cohorts.
Atom mapping rules were calculated as described in Blum and Kohlbacher (2008).
The sensitivity, specificity, positive predictive value and negative predictive value of the rules were calculated.
Five clinical prediction rules were calculated and admission concentrations of procalcitonin (PCT), C-reactive protein, neutrophil-lymphocyte count ratio (NLCR), lymphocyte count, white blood cell count, and red blood cell distribution width were measured.
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The weights of the cubature rules are calculated explicitly.
Here is how expected good of a set of rules is calculated.
The ratio of a rule's firing strength to the sum of the firing strengths of all the rules is calculated in layer 3.
The quality function of the activated rules is calculated as Q t ( s t, a t ) = ∑ k O k ( 3 ) q kc ( k ).
The quality function of the activated rules is calculated as: Q_{t}left({{s_{t}},a_{t}left({{s_{t}}} right)} right) = sumlimits_{i } {{q_{icleft(i right)}}{alpha_{i}}left({{s_{t}}} right)}.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com