6 search results - page 1 / 2 » Lipschitz Parametrization of Probabilistic Graphical Models |
CORR
2012
Springer
12 years 8 days ago
2012
Springer
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the p-norm of the parameters. We discuss several implications ...
TCIAIG
2010
12 years 11 months ago
2010
Abstract--Fingerprinting operators generate functional signatures of game players and are useful for their automated analysis independent of representation or encoding. The theory ...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
AMDO
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Motion capture is an important application in different areas such as biomechanics, computer animation, and human-computer interaction. Current motion capture methods typ...