31 search results - page 1 / 7 » Learning Rates of Least-Square Regularized Regression |
FOCM
2006
13 years 4 months ago
2006
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
CEC
2010
IEEE
12 years 11 months ago
2010
IEEE
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
PAMI
2012
11 years 7 months ago
2012
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
JMLR
2007
13 years 4 months ago
2007
Gaussian kernels with flexible variances provide a rich family of Mercer kernels for learning algorithms. We show that the union of the unit balls of reproducing kernel Hilbert s...