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» Neural Model Identification Using Local Robustness Analysis
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IJON
2008
101views more  IJON 2008»
13 years 7 months ago
Learning dynamics and robustness of vector quantization and neural gas
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...
IROS
2009
IEEE
230views Robotics» more  IROS 2009»
14 years 2 months ago
Stability and robustness analysis tools for marine robot localization and SLAM applications
— Our aim is to explore the fundamental stability issues of a robotic vehicle carrying out localization, mapping, and feedback control in a perturbation-filled environment. Moti...
Brendan Englot, Franz Hover
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
14 years 1 months ago
Robust multi-cellular developmental design
This paper introduces a continuous model for Multi-cellular Developmental Design. The cells are fixed on a 2D grid and exchange ”chemicals” with their neighbors during the gr...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
BMCBI
2007
133views more  BMCBI 2007»
13 years 7 months ago
Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...
Ivan G. Costa, Roland Krause, Lennart Opitz, Alexa...
INFOCOM
2002
IEEE
14 years 8 days ago
Increasing robustness of fault localization through analysis of lost, spurious, and positive symptoms
—This paper utilizes belief networks to implement fault localization in communication systems taking into account comprehensive information about the system behavior. Most previo...
Malgorzata Steinder, Adarshpal S. Sethi