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» A Boosting Algorithm for Regression
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PRL
2008
95views more  PRL 2008»
15 years 4 months ago
Semi-supervised learning by search of optimal target vector
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labeled points vanishes. We show application of the proposed...
Leonardo Angelini, Daniele Marinazzo, Mario Pellic...
ICPR
2006
IEEE
16 years 5 months ago
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction
A regression model in the tensorPCA subspace is proposed in this paper for face super-resolution reconstruction. An approximate conditional probability model is used for the tenso...
Junwen Wu, Mohan M. Trivedi
CEC
2005
IEEE
15 years 10 months ago
On improving genetic programming for symbolic regression
This paper reports an improvement to genetic programming (GP) search for the symbolic regression domain, based on an analysis of dissimilarity and mating. GP search is generally di...
Steven Gustafson, Edmund K. Burke, Natalio Krasnog...
GLOBECOM
2007
IEEE
15 years 6 months ago
Polynomial Regression for Data Gathering in Environmental Monitoring Applications
- How to prolong the lifetime of wireless sensor networks is one of the most important design issues. In order to tackle this issue, we propose an energy-efficient polynomial regre...
Guojun Wang, Jiannong Cao, Huan Wang, Minyi Guo
IJCNN
2008
IEEE
15 years 10 months ago
Fully complex-valued radial basis function networks for orthogonal least squares regression
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
Sheng Chen, Xia Hong, Chris J. Harris