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» Computational Complexity of Weighted Threshold Games
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NCA
2006
IEEE
13 years 5 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
SOFSEM
2009
Springer
14 years 2 months ago
-Hardness of Pure Nash Equilibrium in Scheduling and Connection Games
We prove NP-hardness of pure Nash equilibrium for some problems of scheduling games and connection games. The technique is standard: first, we construct a gadget without the desir...
Nguyen Kim Thang
FSTTCS
2010
Springer
13 years 3 months ago
Generalized Mean-payoff and Energy Games
In mean-payoff games, the objective of the protagonist is to ensure that the limit average of an infinite sequence of numeric weights is nonnegative. In energy games, the objectiv...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
ECCC
2000
158views more  ECCC 2000»
13 years 5 months ago
On the Computational Power of Winner-Take-All
This article initiates a rigorous theoretical analysis of the computational power of circuits that employ modules for computing winner-take-all. Computational models that involve ...
Wolfgang Maass
TSMC
2008
138views more  TSMC 2008»
13 years 5 months ago
Image Thresholding Using Graph Cuts
A novel thresholding algorithm is presented in this paper to improve image segmentation performance at a low computational cost. The proposed algorithm uses a normalized graphcut m...
Wenbing Tao, Hai Jin, Yimin Zhang, Liman Liu, Desh...