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» An adaptive probabilistic trust model and its evaluation
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WORDS
2002
IEEE
14 years 1 months ago
Evaluating UMl Extensions for Modeling Real-Time Systems
Rather recently object-oriented modeling languages, tools, and methods attract the interest of embedded (realtime) system developers. This is especially true if embedded (real-tim...
Lutz Bichler, Ansgar Radermacher, Andy Schürr
PERCOM
2010
ACM
13 years 7 months ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...
AGENTS
1998
Springer
14 years 26 days ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ECML
2006
Springer
13 years 10 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
ICRA
2003
IEEE
160views Robotics» more  ICRA 2003»
14 years 1 months ago
Adapting navigation strategies using motions patterns of people
— As people move through their environments, they do not move randomly. Instead, they are often engaged in typical motion patterns, related to specific locations they might be i...
Maren Bennewitz, Wolfram Burgard, Sebastian Thrun