In this paper we analyze the performance of execution of service workflows in virtual machines (VMs) used as resources in our service-oriented grid testbed (SGT). We chosen an app...
Carlos R. Senna, Luiz F. Bittencourt, Edmundo R. M...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
The error-correcting output coding (ECOC) method reduces the multiclass learning problem into a series of binary classifiers. In this paper, we consider the dense ECOC methods, co...
Aijun Zhang, Zhi-Li Wu, Chun Hung Li, Kai-Tai Fang
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
In railway train-borne equipment, the Driver Machine Interface (DMI) acts like a bridge between the train driver and the onboard automatic train control system (European Vital Com...