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» Variability and Component Composition
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ICONIP
2007
13 years 10 months ago
Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
Shohei Shimizu, Aapo Hyvärinen
AAAI
1996
13 years 10 months ago
Goal Oriented Symbolic Propagation in Bayesian Networks
The paper presents an efficient goal oriented algorithm for symbolic propagation in Bayesian networks. The proposed algorithm performs symbolic propagation using numerical methods...
Enrique Castillo, José Manuel Gutiér...
ICASSP
2010
IEEE
13 years 9 months ago
An adaptive level of detail approach to nonlinear estimation
In this work, we present a general method for approximating nonlinear transformations of Gaussian mixture random variables. It is based on transforming the individual Gaussians wi...
Friedrich Faubel, Dietrich Klakow
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 9 months ago
Robust Matrix Decomposition with Outliers
Suppose a given observation matrix can be decomposed as the sum of a low-rank matrix and a sparse matrix (outliers), and the goal is to recover these individual components from th...
Daniel Hsu, Sham M. Kakade, Tong Zhang
TR
2008
117views more  TR 2008»
13 years 9 months ago
Redundancy Allocation for Series-Parallel Systems Using Integer Linear Programming
We consider the problem of maximizing the reliability of a series-parallel system given cost and weight constraints on the system. The number of components in each subsystem and th...
Alain Billionnet