698 search results - page 73 / 140 » Bayesian probability |
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...
JCIT
2010
13 years 3 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
COLT
1994
Springer
14 years 1 months ago
1994
Springer
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
UAI
2003
13 years 10 months ago
2003
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...