Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

Abstract: Learning dynamical networks based on time series of nodal states is of significant interest in systems science, computer science, and control engineering. Despite recent progress in network ...

For a quick introduction to installing and using the plugin, see the Quick Start Guide.

Abstract: Sparse Bayesian learning (SBL) is an algorithm for high-dimensional data processing based on Bayesian statistical theory. Its goal is to improve the generalization ability and efficiency of ...

Most teachers (myself included) don’t want to rely on lectures and worksheets to do our jobs. The problem is that it’s time-intensive and difficult to plan for lots and lots of active learning, which ...