We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
It has been commonly stated how complex it is to measure the impact of Information Technology on managers' productivity. We propose to go beyond the concept of productivity i...
Computer Science Education Research is often done in a very local setting and findings are difficult to transfer to other institutions. There are however several factors that spea...
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner