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» Representing and generating uncertainty effectively
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ICDE
2009
IEEE
202views Database» more  ICDE 2009»
16 years 21 days ago
Tracking High Quality Clusters over Uncertain Data Streams
Recently, data mining over uncertain data streams has attracted a lot of attentions because of the widely existed imprecise data generated from a variety of streaming applications....
Chen Zhang, Ming Gao, Aoying Zhou
IJCAI
2003
15 years 10 days ago
Automated Generation of Understandable Contingency Plans
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Max Horstmann, Shlomo Zilberstein
IWC
2000
99views more  IWC 2000»
14 years 10 months ago
Effective information visualisation: a study of graph drawing aesthetics and algorithms
Information visualisation systems which generate diagrams representing discrete relational information must consider potential users if they are to be effective. Many algorithms w...
Helen C. Purchase
ICRA
2005
IEEE
115views Robotics» more  ICRA 2005»
15 years 4 months ago
Language-based Feedback Control Using Monte Carlo Sensing
Abstract— Landmark-based graphs are a useful and parsimonious tool for representing large scale environments. Relating landmarks by means of feedback-control algorithms encoded i...
Sean B. Andersson, Dimitrios Hristu-Varsakelis
WCE
2007
15 years 4 days ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius