701 search results - page 42 / 141 » Self Bounding Learning Algorithms |
JAIR
2002
13 years 9 months ago
2002
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
CORR
2010
Springer
13 years 9 months ago
2010
Springer
We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the test...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
ML
2007
ACM
13 years 9 months ago
2007
ACM
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...