329 search results - page 41 / 66 » Probably Approximately Correct Learning |
CORR
2006
Springer
13 years 8 months ago
2006
Springer
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
ALT
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
JCIT
2010
13 years 3 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...
ICC
2011
IEEE
12 years 8 months ago
2011
IEEE
—In this paper, recent results in game theory and stochastic approximation are brought together to mitigate the problem of femto-to-macrocell cross-tier interference. The main re...