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» Representing and generating uncertainty effectively
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AIPS
2009
15 years 2 days ago
Navigation Planning in Probabilistic Roadmaps with Uncertainty
Probabilistic Roadmaps (PRM) are a commonly used class of algorithms for robot navigation tasks where obstacles are present in the environment. We examine the situation where the ...
Michael Kneebone, Richard Dearden
DASFAA
2007
IEEE
151views Database» more  DASFAA 2007»
15 years 23 days ago
The Tornado Model: Uncertainty Model for Continuously Changing Data
To support emerging database applications that deal with continuously changing (or moving) data objects (CCDOs), such as vehicles, RFIDs, and multi-stimuli sensors, one requires an...
Byunggu Yu, Seon Ho Kim, Shayma Alkobaisi, Wan D. ...
TASLP
2010
144views more  TASLP 2010»
14 years 5 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
15 years 5 months ago
Probabilistic localization with a blind robot
Abstract— Researchers have addressed the localization problem for mobile robots using many different kinds of sensors, including rangefinders, cameras, and odometers. In this pa...
Lawrence H. Erickson, Joseph Knuth, Jason M. O'Kan...
ICTAI
2008
IEEE
15 years 5 months ago
A Model for Multiple Outcomes Games
We introduce and study qualitative multiple outcomes games. These games are noncooperative games with qualitative utilities (i.e., values over an ordinal scale), strictly qualitat...
Ramzi Ben Larbi, Sébastien Konieczny, Pierr...