Simulation models are often not used to their full potential in the decision-making process. The default simulation strategy of simple serial replication of fixed length runs mean...
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
The recent demand for system-on-chip RF mixed-signal design and aggressive supply-voltage reduction require chip-level accurate analysis of both the substrate and power delivery s...
Tsung-Hao Chen, Clement Luk, Charlie Chung-Ping Ch...
—This study illustrates the importance of assessing and accounting for time heterogeneity in longitudinal social network analysis. We apply the time heterogeneity model selection...
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...