In the time-histories approach, the variability of ground motions may generate significant different responses and levels of nonlinearity [3], thus, a number of inputs to perform the analysis several times are required to obtain a steady average site response.
Molecular descriptors selected by the heuristic method (HM) in CODESSA were used as inputs to perform multiple linear regression (MLR), which is the simplest method that builds a single regression equation for a given data set.
Seven molecular descriptors selected by the heuristic method (HM) were used as inputs to perform multiple linear regression (MLR), support vector machine (SVM) and projection pursuit regression (PPR) studies.
Players use controller inputs to perform attacks; the most basic attacks are executed by pressing one of three attack buttons: light, medium, or strong.
We need the following three inputs to perform this method: A coarse-grain template for the target molecule (e.g. a structure with one point per residues representing the C3′ or P atom) (Fig. 1 A).
As described in Figure 4, we found five different CCHC array motifs in this database (plus the motif lost), which was subsequently divided in five sub-databases one for each state, these were used as inputs to perform five multiple alignments.
