Leave-One-Out Bounds for Support Vector Regression Model Selection
Work
Year: 2005
Type: article
Abstract: Minimizing bounds of leave-one-out errors is an important and efficient approach for support vector machine (SVM) model selection. Past research focuses on their use for classification but not regress... more
Source: Neural Computation
Authors Ming‐Wei Chang, Chih‐Jen Lin
Institution National Taiwan University
Cites: 23
Cited by: 108
Related to: 10
FWCI: 5.643
Citation percentile (by year/subfield): 99.99
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green