Home
About
Advanced Search
Browse by Discipline
Scientific Societies
E-print Alerts
Add E-prints
FAQ
•
HELP
•
SITE MAP
•
CONTACT US
Search
Advanced Search
Cherkassky, Vladimir - Department of Electrical and Computer Engineering, University of Minnesota
Practical Selection of SVM Parameters and Noise Estimation for SVM Regression
NC 2569 Under Review in Neural Computation, Revised June 10, 2002 Selecting the Loss Function for Robust Linear Regression
SVM-based Learning for Multiple Model Estimation Vladimir Cherkassky and Yunqian Ma
Multiple Model Estimation: A New Formulation for Predictive Learning Vladimir Cherkassky and Yunqian Ma
Under Review in Neural Computation, 2002 Comparison of Model Selection for Regression