We describe a method for predicting query difficulty in a precision-oriented web search task. Our approach uses visual features from retrieved surrogate document representations (...
Eric C. Jensen, Steven M. Beitzel, David A. Grossm...
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
Representations and processes involved in judgments of spatial relations after route learning are investigated. The main objective is to decide which relations are explicitly repre...
Rainer Rothkegel, Karl Friedrich Wender, Sabine Sc...
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Grid environments enable users to share non-dedicated resources that lack performance guarantees. This paper describes the design of application-centric middleware components to a...