Abstract: Fuzzy Cognitive Maps (FCMs) have been proven effective in modeling and predicting stationary time series, yet challenges persist when dealing with time-varying nonstationary time series ...

Abstract: The low-rank approximation of big data matrices and tensors plays a pivotal role in many modern applications. Recently, the randomized subspace iteration has shown to be a powerful tool in ...