Abstract. In this paper, we investigate the application of adaptive ensemble models of Extreme Learning Machines (ELMs) to the problem of one-step ahead prediction in (non)stationa...
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutil...
Abstract. Social software is known to stimulate the exchange and sharing of information among peers. This paper describes how an existing system that supports process builders in c...
In this paper, we present a discriminative word-character hybrid model for joint Chinese word segmentation and POS tagging. Our word-character hybrid model offers high performance...
UML state machines are widely used for modeling software behavior. However state-crosscutting behaviors, such as synchronization or execution history dependence, are hard to model...
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...