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BMCBI
2010
229views more  BMCBI 2010»
14 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
AROBOTS
2002
115views more  AROBOTS 2002»
14 years 10 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
AI
2006
Springer
14 years 10 months ago
Robot introspection through learned hidden Markov models
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...
GISCIENCE
2008
Springer
112views GIS» more  GISCIENCE 2008»
14 years 11 months ago
Decentralized Movement Pattern Detection amongst Mobile Geosensor Nodes
Movement patterns, like flocking and converging, leading and following, are examples of high-level process knowledge derived from lowlevel trajectory data. Conventional techniques...
Patrick Laube, Matt Duckham, Thomas Wolle
ICDE
2002
IEEE
149views Database» more  ICDE 2002»
15 years 11 months ago
GADT: A Probability Space ADT for Representing and Querying the Physical World
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
Anton Faradjian, Johannes Gehrke, Philippe Bonnet