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AAAI
2004
15 years 4 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay
CORR
2008
Springer
208views Education» more  CORR 2008»
15 years 2 months ago
Equilibria, Fixed Points, and Complexity Classes
Many models from a variety of areas involve the computation of an equilibrium or fixed point of some kind. Examples include Nash equilibria in games; market equilibria; computing o...
Mihalis Yannakakis
CORR
2008
Springer
91views Education» more  CORR 2008»
15 years 2 months ago
Taming Modal Impredicativity: Superlazy Reduction
Pure, or type-free, Linear Logic proof nets are Turing complete once cut-elimination is5 considered as computation. We introduce modal impredicativity as a new form of impredicati...
Ugo Dal Lago, Luca Roversi, Luca Vercelli
135
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INFORMATICALT
2002
116views more  INFORMATICALT 2002»
15 years 2 months ago
On the Optimization of an Adaptive State Estimation of Dynamic Systems in the Presence of Time-varying Outliers
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
Rimantas Pupeikis
126
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TVCG
1998
160views more  TVCG 1998»
15 years 2 months ago
Adaptive Projection Operators in Multiresolution Scientific Visualization
—Recently, multiresolution visualization methods have become an indispensable ingredient of real-time interactive postprocessing. The enormous databases, typically coming along w...
Mario Ohlberger, Martin Rumpf