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» On Generating Random Network Structures: Connected Graphs
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HICSS
2007
IEEE
97views Biometrics» more  HICSS 2007»
15 years 9 months ago
Decision Support in Health Care via Root Evidence Sampling
— Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other ...
Benjamin B. Perry, Eli Faulkner
STOC
1996
ACM
115views Algorithms» more  STOC 1996»
15 years 7 months ago
Minimum Cuts in Near-Linear Time
We significantly improve known time bounds for solving the minimum cut problem on undirected graphs. We use a "semiduality" between minimum cuts and maximum spanning tree...
David R. Karger
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 3 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
CORR
2010
Springer
137views Education» more  CORR 2010»
15 years 3 months ago
Open Graphs and Monoidal Theories
String diagrams are a powerful tool for reasoning about physical processes, logic circuits, tensor networks, and many other compositional structures. The distinguishing feature of...
Lucas Dixon, Aleks Kissinger
ECCV
2008
Springer
16 years 4 months ago
Automated Delineation of Dendritic Networks in Noisy Image Stacks
We present a novel approach to 3D delineation of dendritic networks in noisy image stacks. We achieve a level of automation beyond that of stateof-the-art systems, which model dend...
Germán González, François Fle...