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IJPRAI
1998
100views more  IJPRAI 1998»
15 years 6 months ago
Obtaining The Correspondence between Bayesian and Neural Networks
We present in this paper a novel method for eliciting the conditional probability matrices needed for a Bayesian network with the help of a neural network. We demonstrate how we c...
Athena Stassopoulou, Maria Petrou
MOC
2002
127views more  MOC 2002»
15 years 6 months ago
The dynamical behavior of the discontinuous Galerkin method and related difference schemes
We study the dynamical behavior of the discontinuous Galerkin finite element method for initial value problems in ordinary differential equations. We make two different assumptions...
Donald J. Estep, Andrew M. Stuart
234
Voted
CORR
2010
Springer
228views Education» more  CORR 2010»
15 years 5 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
168
Voted
ICPR
2010
IEEE
15 years 5 months ago
Matching Groups of People by Covariance Descriptor
In this paper, we present a new solution to the problem of matching groups of people across multiple nonoverlapping cameras. Similar to the problem of matching individuals across ...
Yinghao Cai, Valtteri Takala, Matti Pietikäin...
OL
2010
77views more  OL 2010»
15 years 5 months ago
A note on Burer's copositive representation of mixed-binary QPs
In an important paper, Burer [2] recently showed how to reformulate general mixed-binary quadratic optimization problems (QPs) into copositive programs where a linear functional i...
Immanuel M. Bomze, Florian Jarre