6a, the predicted scanned DTB using QR due to asymmetrically-weighted procedure is less affected by outliers in the data set than OK (Fig. 6b). However, estimating the parameters in QR is harder than in Gaussian or generalized regression. Figure 6c expresses that DNLN can be flexible enough ...
Software that introduces multivariate preprocessing techniques but for time series data sets, was proposed in [26]. The OpenMORe package [27] can be used for clustering reacting flow data sets and it additionally introduces utilities for evaluating clustering solutions. Python software for under-...
26. For example, Reddan et al.27found that mental imagery of the auditory CSs could be used to induce extinction learning following differential fear conditioning to auditory tones, as measured using SCR and whole-brain multivariate pattern analysis. In addition, mental imagery of CSs can contribut...
Before conducting research on DNNs, psychologists should understand linear transformations and basic matrix operations from linear algebra, the chain rule in multivariate calculus for understanding backpropagationFootnote 8, and gradient descent and regression from statistics, with which psychologists are alread...