331 search results - page 21 / 67 » Robustness, Risk, and Regularization in Support Vector Machi... |
ICANN
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
CONTEXT
2007
Springer
14 years 1 months ago
2007
Springer
Mechanisms that underlie the inductive reasoning process in risk contexts are investigated. Experimental results indicate that people rate the same inductive reasoning argument dif...
VLDB
2002
ACM
13 years 7 months ago
2002
ACM
Abstract. Support vector machines (SVMs) have shown superb performance for text classification tasks. They are accurate, robust, and quick to apply to test instances. Their only po...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....