142 search results - page 14 / 29 » Bayesian variable order Markov models. |
3DOR
2008
13 years 10 months ago
2008
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
AI
2002
Springer
13 years 7 months ago
2002
Springer
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
WSDM
2010
ACM
14 years 5 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
JMLR
2012
11 years 10 months ago
2012
This paper proposes a novel Bayesian approximation inference method for mixture modeling. Our key idea is to factorize marginal log-likelihood using a variational distribution ove...