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164
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CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 2 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
94
Voted
JMLR
2011
106views more  JMLR 2011»
14 years 10 months ago
A Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large onli...
Ruby C. Weng, Chih-Jen Lin
163
Voted
CISS
2011
IEEE
14 years 7 months ago
New hypothesis testing-based methods for fault detection for smart grid systems
Abstract—Fault detection plays an indispensable role in ensuring the security of smart grid systems. Based on the dynamics of the generators, we show the time evolution of the sm...
Qian He, Rick S. Blum
81
Voted
PIMRC
2008
IEEE
15 years 10 months ago
Maximum likelihood based methods for OFDM intercarrier spacing characterization
— One of the main task to be done by a cognitive receiver is to sense its spectral environment in order to distinguish surrounding systems from each others. Actually most systems...
Abdelaziz Bouzegzi, Philippe Ciblat, Pierre Jallon
127
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WSC
2004
15 years 5 months ago
On Using Monte Carlo Methods for Scheduling
Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of by tossing a needle onto striped paper) to analyze phenomena which, due to ...
Samarn Chantaravarapan, Ali K. Gunal, Edward J. Wi...