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Upon processing the inputs shown in Figure3, the tensor mapfield of our architecture has encoded all of the symmetric binary associations between inputs.
Through the processing of the sequence of data records, the tensor mapfield learns symmetric binary associations between pairs of unimodal module output representations.
As noted with the previous example, the tensor mapfield yielded from processing the input tuples encodes the binary associations between inputs.
Chi-square statistics was used to assess binary associations between categorical variables.
All other binary associations between the NCD risk factors were not statistically significant.
Proportions and chi-squared test were used to examine the binary associations between GBV and contraceptive use, unintended pregnancy, and induced abortion outcomes.
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Let x ij ∈{0,1} denote the binary association variable between GAP i and UE j, i.e., x ij =1, if UE j is associated with GAP i; otherwise, x ij =0.
The BiFold framework described in this article has primarily focused on a fixed, binary dataset, interpretable as associations between two types of objects.
The chi-square test was used to assess associations between binary variables.
Associations between binary or categorical variables were investigated using chi-square tests.
Associations between binary dependent variables and possible predictors will be investigated using logistic regression.
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