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ECML
2007
Springer
15 years 6 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
ICMCS
2005
IEEE
131views Multimedia» more  ICMCS 2005»
15 years 6 months ago
A Distributed Algorithm for Congestion-Minimized Multi-Path Routing Over Ad-Hoc Networks
When an ad hoc network with limited link capacities is used to transport high-rate, latency-constrained multimedia streams, it is important that routing algorithms not only yield ...
Xiaoqing Zhu, Bernd Girod
SIGECOM
2008
ACM
152views ECommerce» more  SIGECOM 2008»
15 years 16 days ago
On characterizations of truthful mechanisms for combinatorial auctions and scheduling
We characterize truthful mechanisms in two multi-parameter domains. The first characterization shows that every mechanism for combinatorial auctions with two subadditive bidders t...
Shahar Dobzinski, Mukund Sundararajan
86
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ICDCS
2007
IEEE
15 years 7 months ago
Approximate Covering Detection among Content-Based Subscriptions Using Space Filling Curves
We consider a problem that arises during the propagation of subscriptions in a contentbased publish-subscribe system. Subscription covering is a promising optimization that reduce...
Zhenhui Shen, Srikanta Tirthapura
CONIELECOMP
2006
IEEE
15 years 6 months ago
Chaotic Time Series Approximation Using Iterative Wavelet-Networks
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
E. S. Garcia-Trevino, Vicente Alarcón Aquin...