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SARA
2007
Springer
13 years 11 months ago
Approximate Model-Based Diagnosis Using Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are NPhard. To overcom...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
IMCSIT
2010
13 years 3 months ago
A Breast Cancer Classifier based on a Combination of Case-Based Reasoning and Ontology Approach
Breast cancer is the second most common form of cancer amongst females and also the fifth most cause of cancer deaths worldwide. In case of this particular type of malignancy, earl...
Essam AbdRabou, Abdel-Badeeh Salem
CDC
2010
IEEE
122views Control Systems» more  CDC 2010»
13 years 19 days ago
On optimal input design in system identification for control
Abstract-- This paper considers a recently proposed framework for experiment design in system identification for control. We will consider model based control design methods, such ...
Bo Wahlberg, Håkan Hjalmarsson, Mariette Ann...
ICIP
2003
IEEE
14 years 7 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
13 years 4 months ago
Comparing and modeling distributed control strategies for miniature self-assembling robots
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
William C. Evans, Grégory Mermoud, Alcherio...