shifts and stochastic volatility. The filter adapts to regime shifts extremely rapidly and delivers a clear heuristic for … distinguishing between regime shifts and stochastic volatility, even though the model dynamics assumed by the filter exhibit neither …

Extreme learning machine (ELM) allows for fast learning and better generalization performance than conventional … gradient-based learning. However, the possible inclusion of non-optimal weight and bias due to random selection and the need … learning framework combining the advantages of ELM and CRO, called extreme learning with chemical reaction optimization (ELCRO …

Problem definition: Intraproject learning in project scheduling is concerned with the use of learning among the similar … tasks in the project to improve the overall performance of the project schedule. Under intraproject learning, knowledge …. We provide the first model and solution algorithms to tackle this intraproject learning problem.Methodology/results: We …