41 search results - page 1 / 9 » Practical Bias Variance Decomposition |
AUSAI
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
ICPR
2000
IEEE
14 years 6 months ago
2000
IEEE
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
AAAI
2000
13 years 6 months ago
2000
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
MCS
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
NECO
1998
13 years 5 months ago
1998