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» An extension of the ICA model using latent variables
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UAI
1996
14 years 11 months ago
Asymptotic Model Selection for Directed Networks with Hidden Variables
We extend the Bayesian Information Criterion (BIC), an asymptotic approximation for the marginal likelihood, to Bayesian networks with hidden variables. This approximation can be ...
Dan Geiger, David Heckerman, Christopher Meek
ECRTS
2004
IEEE
15 years 1 months ago
A Variable Rate Execution Model
We present a task model for adaptive real-time tasks in which a task's execution rate requirements are allowed to change at any time. The model, variable rate execution (VRE)...
Steve Goddard, Xin Liu
ICCAD
2002
IEEE
103views Hardware» more  ICCAD 2002»
15 years 6 months ago
A realistic variable voltage scheduling model for real-time applications
Voltage scheduling is indispensable for exploiting the benefit of variable voltage processors. Though extensive research has been done in this area, current processor limitations...
Bren Mochocki, Xiaobo Sharon Hu, Gang Quan
CSDA
2008
121views more  CSDA 2008»
14 years 10 months ago
ANOVA extensions for mixed discrete and continuous data
This paper is concerned withANOVA-like tests in the context of mixed discrete and continuous data. The likelihood ratio approach is used to obtain a location test in the mixed dat...
A. R. de Leon, Y. Zhu
ICA
2004
Springer
15 years 3 months ago
Second-Order Blind Source Separation Based on Multi-dimensional Autocovariances
SOBI is a blind source separation algorithm based on time decorrelation. It uses multiple time autocovariance matrices, and performs joint diagonalization thus being more robust th...
Fabian J. Theis, Anke Meyer-Bäse, Elmar Wolfg...