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» Using Stochastic Grammars to Learn Robotic Tasks
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AR
2005
138views more  AR 2005»
13 years 7 months ago
On actively closing loops in grid-based FastSLAM
Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have focused on the problem of simultaneous localization an...
Cyrill Stachniss, Dirk Hähnel, Wolfram Burgar...
BMCBI
2008
185views more  BMCBI 2008»
13 years 7 months ago
Mining clinical relationships from patient narratives
Background: The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order...
Angus Roberts, Robert J. Gaizauskas, Mark Hepple, ...
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
14 years 2 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
ATAL
2006
Springer
13 years 11 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
RSS
2007
159views Robotics» more  RSS 2007»
13 years 9 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...