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» An algorithmic framework for network reconstruction
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GLOBECOM
2008
IEEE
16 years 28 days ago
Cross-Layer Design with Adaptive Modulation: Delay, Rate, and Energy Tradeoffs
— We present a crosslayer framework for optimizing the performance of wireless networks as measured by applications or upper layer protocols. The approach combines adaptive modul...
Daniel O'Neill, Andrea J. Goldsmith, Stephen P. Bo...
IJCNN
2006
IEEE
16 years 15 days ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
IFIPTCS
2010
15 years 4 months ago
A Game-Theoretic Approach to Routing under Adversarial Conditions
Abstract. We present a game-theoretic framework for modeling and solving routing problems in dynamically changing networks. The model covers the aspects of reactivity and non-termi...
James Gross, Frank G. Radmacher, Wolfgang Thomas
IWANN
2001
Springer
15 years 11 months ago
Pattern Repulsion Revisited
Marques and Almeida [9] recently proposed a nonlinear data seperation technique based on the maximum entropy principle of Bell and Sejnowsky. The idea behind is a pattern repulsion...
Fabian J. Theis, Christoph Bauer, Carlos Garc&iacu...
NIPS
2007
15 years 7 months ago
Gaussian Process Models for Link Analysis and Transfer Learning
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Kai Yu, Wei Chu