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» Preprocessing of Intractable Problems
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ICML
2007
IEEE
14 years 11 months ago
On learning linear ranking functions for beam search
Beam search is used to maintain tractability in large search spaces at the expense of completeness and optimality. We study supervised learning of linear ranking functions for con...
Yuehua Xu, Alan Fern
ICML
2005
IEEE
14 years 11 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
SODA
2010
ACM
135views Algorithms» more  SODA 2010»
14 years 7 months ago
Probabilistic Analysis of the Semidefinite Relaxation Detector in Digital Communications
We consider the problem of detecting a vector of symbols that is being transmitted over a fading multiple?input multiple?output (MIMO) channel, where each symbol is an ?th root of...
Anthony Man-Cho So
INFOCOM
2009
IEEE
14 years 4 months ago
ALDO: An Anomaly Detection Framework for Dynamic Spectrum Access Networks
—Dynamic spectrum access has been proposed as a means to share scarce radio resources, and requires devices to follow protocols that use resources in a proper, disciplined manner...
Song Liu, Yingying Chen, Wade Trappe, Larry J. Gre...
ICASSP
2008
IEEE
14 years 4 months ago
Application of sparse signal recovery to pilot-assisted channel estimation
We examine the application of current research in sparse signal recovery to the problem of channel estimation. Specifically, using an Orthogonal Frequency Division Multiplexed (O...
Matthew Sharp, Anna Scaglione