94 search results - page 9 / 19 » Bayesian Hypothesis Testing in Machine Learning |
ALT
2006
Springer
14 years 3 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
UAI
2004
13 years 8 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
NCI
2004
13 years 8 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
ALT
2001
Springer
14 years 3 months ago
2001
Springer
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
ITS
2010
Springer
13 years 11 months ago
2010
Springer
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...