Recurrent neural networkTime series forecastingDistance correlationPrior studies of RNNs for time series forecasting yield inconsistent results.We use distance correlation to measure information flow through RNN activation layers.Activation layers learn time series lag structures, but gradually forget this ...
vector time serieswind forecastingzonal polynomialSz\\'{e}kely, Rizzo and Bakirov (Ann. Statist. 35 (2007) 2769-2794) andSz\\'{e}kely and Rizzo (Ann. Appl. Statist. 3 (2009) 1236-1265), in two seminalpapers, introduced the powerful concept of distance correlation as a measure of...
AssoRep first obtains the association between features via distance correlation method that has some advantages than Pearson’s correlation coefficient. Then an improved matrix is formed via stacking the association value of any two features. Next, an improved feature representation is obtained by ...
[1] Chang D J , Desoky A H , Ming O , et al. Compute Pairwise Manhattan Distance and Pearson Correlation Coefficient of Data Points with GPU[C]// 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, SNPD 2009, in c...
Alternatively, correlation tracking analysis of mesogranular scales of motion applied to the same time series is used to deduce the near-surface flow field. These two approaches provide the means to assess the patterns and evolution of horizontal flows on supergranular scales even near disk center,...
To construct gene co-expression networks, it is necessary to evaluate the correlation between different gene expression profiles. However, commonly used correlation metrics, including both linear (such as Pearson’s correlation) and monotonic (such as Sp
The distance is corrected for correlation. Consider Fig. 30.4a; the distance between the centre C of the cluster and the objects A and B is the same in Euclidean distances but, since B is part of the group of objects outlined by the ellipse, while A is not, one would like a distance...
This MATLAB file implements the distance correlation metric, where I introduced it as a multiplex functional connectivity metric that quantifies the multiplex coupling strength between a pair of frequency-dependent time series that correspond to the brain activity of two brain areas (ROIs). I first...
There is necessarily a large degree of correlation between these two ways of sorting the observations. The Fig. 7 provides a visualization of how the disturbances vary as a function of the time-of-day and year. This supports the conclusion that the time-of-day has a greater explanatory ...
Investigation of time series representations and similarity measures for structural damage pattern recognition Moreover, the importance of the correlation distance between two adjacent points of the spatial grid has been investigated. Reverberation chamber as a multivariate process: FDTD evaluation of correlat...