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» Cuts in Bayesian graphical models
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AI
2002
Springer
15 years 12 days ago
The size distribution for Markov equivalence classes of acyclic digraph models
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 ...
Steven B. Gillispie, Michael D. Perlman
96
Voted
JETAI
1998
110views more  JETAI 1998»
15 years 6 days ago
Independency relationships and learning algorithms for singly connected networks
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
Luis M. de Campos
TMI
2008
140views more  TMI 2008»
15 years 13 days ago
Hamilton-Jacobi Skeleton on Cortical Surfaces
Abstract-- In this paper, we propose a new method to construct graphical representations of cortical folding patterns by computing skeletons on triangulated cortical surfaces. In o...
Yonggang Shi, Paul M. Thompson, Ivo D. Dinov, Arth...
97
Voted
CGF
2007
129views more  CGF 2007»
15 years 16 days ago
Texturing Internal Surfaces from a Few Cross Sections
We introduce a new appearance-modeling paradigm for synthesizing the internal structure of a 3D model from photographs of a few cross-sections of a real object. When the internal ...
Nico Pietroni, Miguel A. Otaduy, Bernd Bickel, Fab...
94
Voted
FLAIRS
2006
15 years 1 months ago
Using Enhanced Concept Map for Student Modeling in Programming Tutors
We have been using the concept map of the domain, enhanced with pedagogical concepts called learning objectives, as the overlay student model in our intelligent tutors for program...
Amruth N. Kumar