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» High-level approach to modeling of observed system behavior
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NIPS
1998
15 years 7 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
AGS
2009
Springer
16 years 1 months ago
Intelligent Agent Modeling as Serious Game
We propose a novel approach to intelligent tutoring gaming simulations designed for both educational and inquiry purposes in complex multi-actor systems such as infrastructures or...
D. W. F. van Krevelen
CASCON
2007
157views Education» more  CASCON 2007»
15 years 8 months ago
Threats on building models from CVS and Bugzilla repositories: the Mozilla case study
Information obtained by merging data extracted from problem reporting systems – such as Bugzilla – and versioning systems – such as Concurrent Version System (CVS) – is wi...
Kamel Ayari, Peyman Meshkinfam, Giuliano Antoniol,...
ARC
2010
Springer
154views Hardware» more  ARC 2010»
15 years 6 months ago
Perspectives on system identification
: System identification is the art and science of building mathematical models of dynamic systems from observed input-output data. It can be seen as the interface between the real ...
Lennart Ljung
FUIN
2008
119views more  FUIN 2008»
15 years 6 months ago
Modeling Communication with Synchronized Environments
A deterministic behavior of systems composed of several modules is a desirable design goal. Assembling a complex system from components requires also a high degree of re-usability....
Tiberiu Seceleanu, Axel Jantsch