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» Model Selection and Error Estimation
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CSDA
2010
208views more  CSDA 2010»
13 years 10 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
CORR
2007
Springer
128views Education» more  CORR 2007»
13 years 10 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
ICUMT
2009
13 years 7 months ago
Application of smoothed estimators in spectrum sensing technique based on model selection
In cognitive radio networks, secondary user (SU) does not have rights to transmit when the primary user (PU) band is occupied, that's why a sensing technique must be done. Rec...
Bassem Zayen, Aawatif Hayar, Hamza Debbabi, Hichem...
CHI
1994
ACM
14 years 2 months ago
A model-based analysis of errors in display-based HCI
This paper describes a model-based analysis of errors in expert use of graphical user interfaces. Two mechanisms, speed-accuracy tradeoffs and attention failures, were simulated b...
Muneo Kitajima, Peter G. Polson
ICC
2000
IEEE
143views Communications» more  ICC 2000»
14 years 2 months ago
An Analytical Approach for Closed-Loop Power Control Error Estimations in CDMA Cellular Systems
—This paper proposes an analytical study which aims at evaluating the received power statistics in DS-CDMA cellular systems which use a closed-loop power control scheme to compen...
Andrea Abrardo, Giuliano Benelli, Giovanni Giamben...