We address several challenges for applying statistical dialog managers based on Partially Observable Markov Models to real world problems: to deal with large numbers of concepts, ...
Sebastian Varges, Giuseppe Riccardi, Silvia Quarte...
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
Riccardo Masiero, Giorgio Quer, Michele Rossi, Mic...
I will provide an overview of many of the use cases that we looked at to apply OWL ABox reasoning in the real world. The fields we covered included (a) healthcare, and life science...
—In immersive virtual environments (IVEs) users can control their virtual viewpoint by moving their tracked head and by walking through the real world. Usually, movements in the ...
Frank Steinicke, Gerd Bruder, Jason Jerald, Harald...
The identification of clusters, well-connected components in a graph, is useful in many applications from biological function prediction to social community detection. However, ...
—Layered streaming can be used to adapt to the available download capacity of an end-user, and such adaptation is very much required in real world HTTP media streaming. The multi...
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
—Simulation based training system can play an important role in education. It provides fruitful configurations with low cost of maintenance and further development compared to th...