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A state x in a Hopfield network on n nodes represents a simple undirected graph G on v vertices by interpreting a binary entry (x_{e}) in x as indicating whether edge e is in G ((x_{e} = 1)) or not ((x_{e} = 0)).
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It is more natural to interpret a rooted binary tree having k nodes at height zero (1 ≤ k < n) as a rooted binary forest made up of k + 1 separate trees.
A concept is interpreted as a set of individuals, while a role is interpreted as a binary relation between individuals.
The sum a + b can be interpreted as a binary operation that combines a and b, in an algebraic sense, or it can be interpreted as the addition of b more units to a.
As for detailed analysis, lane blockage probability is interpreted by using a binary logistic regression model.
Each role in the set (N_mathsf{R }={r,ldotsts }) is interpreted as a binary relation on the domain.
FABP-1 staining was interpreted as a binary variable (0 or ≥ 1) as well as a FABP-1score (numbetweenween 0-3).
Immunohistochemistry and/or RT-PCR are the predominant assays used in the clinical setting, with results typically interpreted in a binary fashion as either "positive" or "negative".
In this approach, the matrix representation is interpreted as a binary alignment and the supertree is the most parsimonious tree given the alignment.
by interpreting their WordNet glosses.
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