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: Large-scale overlapping problems are prevalent in practical engineering applications, and the optimization challenge is significantly amplified due to the existence of shared variables.

Abstract: Problem decomposition is crucial for coping with large-scale global optimization problems, which relies heavily on highly precise variable grouping methods. The state-of-the-art ...

Brian Tracy's viral 30-minute problem-solving method is gaining traction, offering a simple yet powerful approach to tackling life's challenges. By eliminating distractions and embracing quiet focus, ...