112 search results - page 1 / 23 » Game-Theoretic Learning Using the Imprecise Dirichlet Model |
ISIPTA
2003
IEEE
13 years 9 months ago
2003
IEEE
We discuss two approaches for choosing a strategy in a two-player game. We suppose that the game is played a large number of rounds, which allows the players to use observations o...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
IDA
2007
Springer
13 years 4 months ago
2007
Springer
Natural extension is a powerful tool for combining the expert judgments in the framework of imprecise probability theory. However, it assumes that every judgment is “true” and...
ICDM
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract—It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accura...
ISIPTA
2005
IEEE
13 years 10 months ago
2005
IEEE
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...