160 search results - page 5 / 32 » Adaptive importance sampling in general mixture classes |
ROCAI
2004
Springer
14 years 22 days ago
2004
Springer
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
PAMI
2010
13 years 5 months ago
2010
In this paper, we present a new Adaptive Scale Kernel Consensus (ASKC) robust estimator as a generalization of the popular and state-of-the-art robust estimators such as RANSAC (R...
JMLR
2012
11 years 9 months ago
2012
We study the prevalent problem when a test distribution differs from the training distribution. We consider a setting where our training set consists of a small number of sample d...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
PKDD
2009
Springer
14 years 1 months ago
2009
Springer
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...