We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Abstract: As micro-architectures evolve with increasing complexity, the design process needs to account for a broad range of parameters, which leads to expansive design spaces. Design space ...

Features not showcased in examples are crosssed out, since they are untested. Instead of running the above, you can manually download temp-c-raylib from it's releases page and move the binary into ...

Abstract: This paper proposes a data-driven voltage and power regulation method based on model predictive control (MPC) for active distribution networks (ADNs), which doesn’t rely on accurate system ...