This article describes how text documents are a major data structure in the era of big data. With the explosive growth of data, the number of documents with multi-labels has increased dramatically. The popular multi-label classification technology, which is usually employed to handle multinomial...

Abstract Because of the increasing number of interrelated processes continuous monitoring and controlling of processes get more and more important. Time series constitute one possibility of modelling processes in order to determine an appropriate monitoring policy. One major problem when...

Following the framework in Oliva et al. 1987, GEMCAT II implements a flexible method to test catastrophe models containing multivariate (i.e., latent) variables while allowing for a priori variable specifications. The system uses an efficient hybrid minimization algorithm combining the Downhill...

Purpose Hydrodynamic parameter estimation is significant for the velocity prediction of unmanned surface vehicles. Considering the field data’s uncertain nonlinearities (environmental disturbances and measurement noise), this paper aims to propose a hybrid adaptive parameter estimation (HAPE)...

Purpose – The purpose of this paper is to compare the performances of np -VP control chart with estimated parameter to the np -VP control chart with known parameter using average time-to-signal ( ATS ), standard deviation of the time-to-signal ( SDTS ), and average number of observations to...

Purpose This paper aims to investigate the effect of global financial market uncertainty on the relation between risk and return in G7 stock markets. Design/methodology/approach Market uncertainty is quantified using a probability-based measure derived from a regime-switching model in which the...