In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Asymmetric (or Heterogeneous) Multiprocessors are becoming popular in the current era of multi-cores due to their power efficiency and potential performance and energy efficienc...
Nagesh B. Lakshminarayana, Jaekyu Lee, Hyesoon Kim
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....
—The adoption of portable wireless devices is rapidly rising. The demand for efficient communication protocols amongst these devices is pressing. In this paper, we present a con...