26 search results - page 3 / 6 » Shrinking the Tube: A New Support Vector Regression Algorith... |
ICANN
2005
Springer
14 years 27 days ago
2005
Springer
Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetti...
AIA
2007
13 years 9 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...
JMLR
2008
13 years 7 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
NIPS
2000
13 years 8 months ago
2000
The Vicinal Risk Minimization principle establishes a bridge between generative models and methods derived from the Structural Risk Minimization Principle such as Support Vector M...