81 search results - page 9 / 17 » Graphical Models, Exponential Families, and Variational Infe... |
90
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
COLT
2004
Springer
15 years 3 months ago
2004
Springer
: We introduce a graph-theoretic generalization of classical Arrow-Debreu economics, in which an undirected graph specifies which consumers or economies are permitted to engage in...
JMLR
2010
14 years 4 months ago
2010
Many structured information extraction tasks employ collective graphical models that capture interinstance associativity by coupling them with various clique potentials. We propos...
SCVMA
2004
Springer
15 years 3 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
IJAR
2008
14 years 9 months ago
2008
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...