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SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 3 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
TSP
2010
13 years 3 months ago
Efficient recursive estimators for a linear, time-varying Gaussian model with general constraints
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
Stefan Uhlich, Bin Yang
TSP
2010
13 years 3 months ago
Generalized adaptive notch smoothing revisited
The problem of identification of quasi-periodically varying dynamic systems is considered. This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. ...
Maciej Niedzwiecki
ICML
1997
IEEE
14 years 9 months ago
Characterizing the generalization performance of model selection strategies
Abstract: We investigate the structure of model selection problems via the bias/variance decomposition. In particular, we characterize the essential structure of a model selection ...
Dale Schuurmans, Lyle H. Ungar, Dean P. Foster
DATE
2003
IEEE
108views Hardware» more  DATE 2003»
14 years 1 months ago
Generalized Posynomial Performance Modeling
This paper presents a new method to automatically generate posynomial symbolic expressions for the performance characteristics of analog integrated circuits. The coefficient set ...
Tom Eeckelaert, Walter Daems, Georges G. E. Gielen...