94 search results - page 2 / 19 » Bayesian Hypothesis Testing in Machine Learning |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We tackle the fundamental problem of Bayesian active learning with noise, where we need to adaptively select from a number of expensive tests in order to identify an unknown hypot...
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
The majority of theoretical work in machine learning is done under the assumption of exchangeability: essentially, it is assumed that the examples are generated from the same prob...
JMLR
2002
13 years 4 months ago
2002
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
UAI
2003
13 years 6 months ago
2003
This paper considers a method that combines ideas from Bayesian learning, Bayesian network inference, and classical hypothesis testing to produce a more reliable and robust test o...
PKDD
2007
Springer
13 years 11 months ago
2007
Springer
Machine learning research often has a large experimental component. While the experimental methodology employed in machine learning has improved much over the years, repeatability ...