94 search results - page 8 / 19 » Bayesian Hypothesis Testing in Machine Learning |
JMLR
2002
13 years 6 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
ML
2010
ACM
13 years 5 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
ILP
2001
Springer
13 years 11 months ago
2001
Springer
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
We investigate the problem of learning to predict moves in the board game of Go from game records of expert players. In particular, we obtain a probability distribution over legal...
ICML
2001
IEEE
14 years 7 months ago
2001
IEEE
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...