Sciweavers

ICASSP
2011
IEEE
12 years 6 months ago
Blind extraction of improper quaternion sources
Blind extraction of quaternion-valued latent sources is addressed based on their local temporal properties. The extraction criterion is based on the minimum mean square widely lin...
Soroush Javidi, Clive Cheong Took, Cyrus Jahanchah...
TWC
2010
12 years 9 months ago
Adaptive Modulation for MIMO Systems with Channel Prediction Errors
The performance of multiple-input multiple-output (MIMO) systems using spatial multiplexing is analyzed under channel prediction errors. We derive exact closed-form expressions for...
Unai Fernández-Plazaola, Eduardo Martos-Nay...
JOCN
2010
99views more  JOCN 2010»
13 years 26 days ago
"Virus and Epidemic": Causal Knowledge Activates Prediction Error Circuitry
■ Knowledge about cause and effect relationships (e.g., virus– epidemic) is essential for predicting changes in the environment and for anticipating the consequences of events...
Daniela B. Fenker, Mircea Ariel Schoenfeld, Michae...
TIT
2002
89views more  TIT 2002»
13 years 2 months ago
Universal linear least squares prediction: Upper and lower bounds
We consider the problem of sequential linear prediction of real-valued sequences under the square-error loss function. For this problem, a prediction algorithm has been demonstrate...
Andrew C. Singer, Suleyman Serdar Kozat, Meir Fede...
TVCG
2008
96views more  TVCG 2008»
13 years 2 months ago
Hand Motion Prediction for Distributed Virtual Environments
We use our hands to manipulate objects in our daily life. The hand is capable of accomplishing diverse tasks such as pointing, gripping, twisting, and tearing. However, there is no...
Addison Chan, Rynson W. H. Lau, Lewis W. F. Li
JMLR
2008
110views more  JMLR 2008»
13 years 2 months ago
Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...
Bo Jiang, Xuegong Zhang, Tianxi Cai
IJON
2006
65views more  IJON 2006»
13 years 2 months ago
On-line estimation of the final prediction error via recursive least-squares method
This paper starting from the very first principle presents a derivation of an equation estimating of the final prediction error for a neural network under the recursive least squa...
John Sum, Kevin Ho
CSDA
2008
94views more  CSDA 2008»
13 years 2 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
CSDA
2010
119views more  CSDA 2010»
13 years 2 months ago
Fast robust estimation of prediction error based on resampling
Robust estimators of the prediction error of a linear model are proposed. The estimators are based on the resampling techniques cross-validation and bootstrap. The robustness of t...
Jafar A. Khan, Stefan Van Aelst, Ruben H. Zamar
BMCBI
2007
140views more  BMCBI 2007»
13 years 2 months ago
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
Michael Gormley, William Dampier, Adam Ertel, Bilg...