66 search results - page 3 / 14 » A Game Theoretical Model for Adversarial Learning |
ML
2010
ACM
13 years 1 days ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
ICMCS
2007
IEEE
13 years 11 months ago
2007
IEEE
We consider surveillance problems to be a set of system- adversary interaction problems in which an adversary can be modeled as a rational (selfish) agent trying to maximize his ...
ISIPTA
2003
IEEE
13 years 10 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...
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
CORR
2002
Springer
13 years 5 months ago
2002
Springer
Game theoretic models of learning which are based on the strategic form of the game cannot explain learning in games with large extensive form. We study learning in such games by ...