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JAIR
1998
198views more  JAIR 1998»
13 years 8 months ago
Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
Alberto Ruiz, Pedro E. López-de-Teruel, M. ...
CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 7 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi
INFOCOM
2010
IEEE
13 years 7 months ago
Delay Analysis for Cognitive Radio Networks with Random Access: A Fluid Queue View
Abstract—We consider a cognitive radio network where multiple secondary users (SUs) contend for spectrum usage, using random access, over available primary user (PU) channels. Ou...
Shanshan Wang, Junshan Zhang, Lang Tong
JSW
2010
83views more  JSW 2010»
13 years 7 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
PVLDB
2010
105views more  PVLDB 2010»
13 years 7 months ago
Destabilizers and Independence of XML Updates
Independence analysis is the problem of determining whether an update affects the result of a query, e.g. a constraint or materialized view. We develop a new, modular framework fo...
Michael Benedikt, James Cheney