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» Complex networks as control paradigm for complex systems
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PRIS
2004
13 years 6 months ago
Neural Network Learning: Testing Bounds on Sample Complexity
Several authors have theoretically determined distribution-free bounds on sample complexity. Formulas based on several learning paradigms have been presented. However, little is kn...
Joaquim Marques de Sá, Fernando Sereno, Lu&...
BROADNETS
2006
IEEE
13 years 11 months ago
A Secure Programming Paradigm for Network Virtualization
—The central paradigm of today’s successful Internet is to keep the network core simple and move complexity towards the network end points. Unfortunately, this very paradigm li...
Ana Milanova, Sonia Fahmy, David Musser, Büle...
RAS
2010
137views more  RAS 2010»
13 years 3 months ago
Development of complex robotic systems using the behavior-based control architecture iB2C
This paper presents a development methodology for complex robotic systems using the behavior-based control architecture iB2C (integrated Behavior-Based Control). It is shown how a...
Martin Proetzsch, Tobias Luksch, Karsten Berns
IRCDL
2010
13 years 6 months ago
Interactive Visual Representations of Complex Information Structures
One of the most challenging issues in managing the large and diverse data available on the World Wide Web is the design of interactive systems to organize and represent information...
Gianpaolo D'Amico, Alberto Del Bimbo, Marco Meoni
NIPS
1998
13 years 6 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll