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» Linear Radiosity with Error Estimation
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TOMACS
2002
101views more  TOMACS 2002»
13 years 8 months ago
Efficient simulation of a tandem Jackson network
In this paper we consider a two-node tandem Jackson network. Starting from a given state, we are interested in estimating the probability that the content of the second buffer exc...
Dirk P. Kroese, Victor F. Nicola
MOC
2010
13 years 3 months ago
A direct coupling of local discontinuous Galerkin and boundary element methods
The coupling of local discontinuous Galerkin (LDG) and boundary element methods (BEM), which has been developed recently to solve linear and nonlinear exterior transmission proble...
Gabriel N. Gatica, Norbert Heuer, Francisco-Javier...
ICC
2009
IEEE
164views Communications» more  ICC 2009»
14 years 3 months ago
Effects of Imperfect Channel State Information on Achievable Rates of Precoded Multi-User MIMO Broadcast Channels with Limited F
—We consider multi-user MIMO broadcast channels with limited feedback. A recently proposed linear precoding technique, regularized block diagonalization (RBD), is used to mitigat...
Bin Song, Martin Haardt
ICML
2004
IEEE
14 years 9 months ago
Nonparametric classification with polynomial MPMC cascades
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
Sander M. Bohte, Markus Breitenbach, Gregory Z. Gr...
ACL
2006
13 years 10 months ago
Approximation Lasso Methods for Language Modeling
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
Jianfeng Gao, Hisami Suzuki, Bin Yu