192 search results - page 18 / 39 » A Note on the Decomposition Methods for Support Vector Regre... |
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
IDEAL
2004
Springer
14 years 2 months ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
PRL
2011
13 years 3 months ago
2011
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...
AIA
2007
13 years 10 months ago
2007
Kernel Ridge Regression (KRR) and the recently developed Kernel Aggregating Algorithm for Regression (KAAR) are regression methods based on Least Squares. KAAR has theoretical adv...
CSL
2010
Springer
13 years 8 months ago
2010
Springer
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...