Nevertheless, even the weight distributions do not change much, and care is needed only when interpreting the weight distributions of call networks aggregated over very short periods of time.
Some studies in fact show frequent and substantial weight gain one year prior treatment seeking, providing an important element to interpret the modest weight losses typically reported in literature [ 49, 50].
Processed by extracting key components and to better interpret the variable weights in factors, an orthogonal factor rotation using the Varimax method was used, in which significant weights were high and all others were close to zero, i.e., the objective is to maximize the variation between the weights of each factor, hence the name Varimax (Hair JR et al., 2006).
This paper provides a new perspective to interpret the hamming weights of fixed-point coefficients represented in signed-power-of-two terms with minimal number of nonzero digits, called the minimal signed digit (MSD) representation.
Thus, we interpret the composite Akaike weight as describing the average relative likelihood of a given biogeographic scenario over a set of all possible alternative scenarios [ 109].
Thus, we interpret the composite Akaike weight as describing the average relative likelihood of a given biogeographic scenario over a set of alternative scenarios.
Let's take a moment to interpret the obtained classifier: The weight vector w is given in Table 2.
Here, we interpret the pairwise matching weights as votes for the importance of the nodes which allows a quick division between consistent nodes and irrelevant ones (e.g., those from the background).
Summary and action taken: We did not interpret the SVM feature weights due to the above-mentioned reasons and hope that we have convinced the reviewers with our explanation.
In contrast, for functional covariates, it is difficult to interpret the "sign" of the weights for the B-spline basis functions.
