The results show that carrying out comparison promotes greater insight into the common causal structure, but only when the comparison is intensive. The best results were obtained when participants were asked to
Self-taught learning 3 RBM 1 Deep learning is evolving rapidly, and is becoming the basis of more intrusion detection methods. To answer RQ3(b), we plotted the number of ML and DL based intrusion detection articles per year, see Fig. 7. Based on the specificity of our research subject,...
Please denote that considering the bounded nature of efficiency results we also report three alternative specifications (OLS, Tobit and Fractional model). The results don not differ significantly. We must mention that the literature on the effect of the specific variable provides, however, contradictory...
The dilated causal convolution network comprises 20 layers, each of which exponentially increases the dilation parameter: 2𝑖2i for the i-th layer. We employ an adaptive max-pooling layer as the last layer to squeeze the temporal dimension and output a vector of a fixed size. Here, represen...
Longitudinal research using cross-lagged designs allows us to infer causal directionality (Kearney, 2017). However, a shortcoming of many prior behavioral studies that have used predictive models is that they have not controlled for children's initial skill levels (e.g., Blom & Boerma, 2019; ...
The dilated causal convolution network comprises 20 layers, each of which exponentially increases the dilation parameter: 2𝑖2i for the i-th layer. We employ an adaptive max-pooling layer as the last layer to squeeze the temporal dimension and output a vector of a fixed size. Here, represen...
2. Materials and Methods BIMO's goal is to be easily used in downstream tasks by discovering the most signifi- cant modalities for representation learning in all domains of time-series data. This study was inspired by existing work on SOTA contrastive learning-based unsupervised learning methods ...
These authors emphasized that there are different bootstrap procedures that have been studied and are based only on generalized autoregressive conditional heteroscedasticity (GARCH) estimates. Therefore, this study extends the GARCH bootstrap estimates to a SARIMA–GAS–GEVD VaR and ES estimates, and ...
These authors emphasized that there are different bootstrap procedures that have been studied and are based only on generalized autoregressive conditional heteroscedasticity (GARCH) estimates. Therefore, this study extends the GARCH bootstrap estimates to a SARIMA–GAS–GEVD VaR and ES estimates, and ...