94 search results - page 3 / 19 » Bayesian Hypothesis Testing in Machine Learning |
ECML
1991
Springer
13 years 9 months ago
1991
Springer
1 A novel semi-naive Bayesian classifier is introduced that is particularly suitable to data with many attributes. The naive Bayesian classifier is taken as a starting point and co...
AIED
2007
Springer
13 years 11 months ago
2007
Springer
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
ML
2000
ACM
13 years 5 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
AIME
2007
Springer
13 years 9 months ago
2007
Springer
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
ML
2008
ACM
13 years 5 months ago
2008
ACM
Abstract. We consider a large volume principle for transductive learning that prioritizes the transductive equivalence classes according to the volume they occupy in hypothesis spa...