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» Approximate Models for General Cache Networks
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NC
1998
101views Neural Networks» more  NC 1998»
13 years 9 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
WINE
2010
Springer
220views Economy» more  WINE 2010»
13 years 6 months ago
Threshold Models for Competitive Influence in Social Networks
The problem of influence maximization deals with choosing the optimal set of nodes in a social network so as to maximize the resulting spread of a technology (opinion, productowne...
Allan Borodin, Yuval Filmus, Joel Oren
MOBIHOC
2004
ACM
14 years 1 months ago
Market sharing games applied to content distribution in ad-hoc networks
In third generation (3G) wireless data networks, repeated requests for popular data items can exacerbate the already scarce wireless spectrum. In this paper we propose an architec...
Michel X. Goemans, Erran L. Li, Vahab S. Mirrokni,...
CORR
2008
Springer
179views Education» more  CORR 2008»
13 years 8 months ago
Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
Soummya Kar, José M. F. Moura, Kavita Raman...
CISS
2010
IEEE
13 years 3 days ago
On models for multi-user Gaussian channels with fading
Abstract— An analytically tractable model for Gaussian multiuser channels with fading is studied, and the capacity region of this model is found to be a good approximation of the...
Rony El Haddad, Brian Smith, Sriram Vishwanath