1614 search results - page 108 / 323 » Learning Rules and Their Exceptions |
CORR
2011
Springer
14 years 4 months ago
2011
Springer
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been ...
56
Voted
ICDM
2006
IEEE
15 years 4 months ago
2006
IEEE
Under-sampling is a class-imbalance learning method which uses only a subset of major class examples and thus is very efficient. The main deficiency is that many major class exa...
70
Voted
ALT
1998
Springer
15 years 2 months ago
1998
Springer
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
UAI
2004
14 years 11 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...
IJAR
2010
14 years 8 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...