84 search results - page 2 / 17 » Learning structurally consistent undirected probabilistic gr... |
116
Voted
UAI
2008
15 years 2 months ago
2008
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...
114
Voted
ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
120
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Probabilistic modelling of text data in the bagof-words representation has been dominated by directed graphical models such as pLSI, LDA, NMF, and discrete PCA. Recently, state of...
100
Voted
COLT
2004
Springer
15 years 6 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...
90
Voted
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...