Many industrial sectors have been collecting big sensor data. With recent technologies for processing data, companies can exploit this automatic failure detection and prevention. We propose the first completely automated method analysis, machine-learning fault trees from raw observational data with continuous variables. Our scales well is tested on a real-world, five-year dataset of domestic he...

We propose the unit gamma mixed regression model to deal with continuous bounded variables in context of repeated measures and clustered data. The proposed is based on class genera...

Abstract We have investigated a prototype triggerless data acquisition (DAQ) system for charmed-baryon spectroscopy at J-PARC. A special time-to-digital converter (TDC) dedicated to continuous timing measurement without any external trigger was developed. high dynamic range of the order 1010 realized by introducing heartbeat method, which periodically generates delimiter datum. DAQ software rec...

Most of Computational Intelligence models (e.g. neural networks or distance based methods) are designed to operate on continuous data and provide no tools to adapt their parameters to data described by symbolic values. Two new conversion methods which replace symbolic by continuous attributes are presented and compared to two commonly known ones. The advantages of the continuousification are il...