1164 search results - page 40 / 233 » A Model Selection Approach for Local Learning |
ISMDA
2004
Springer
14 years 29 days ago
2004
Springer
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
DAWAK
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
PR
2007
13 years 7 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
UAI
1993
13 years 9 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...