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159
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METMBS
2003
255views Mathematics» more  METMBS 2003»
15 years 5 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
IJCAI
1997
15 years 5 months ago
On the Role of Hierarchy for Neural Network Interpretation
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
Jürgen Rahmel, Christian Blum, Peter Hahn
ICML
2010
IEEE
15 years 5 months ago
Particle Filtered MCMC-MLE with Connections to Contrastive Divergence
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
JPDC
2008
110views more  JPDC 2008»
15 years 4 months ago
Parallel multilevel algorithms for hypergraph partitioning
In this paper, we present parallel multilevel algorithms for the hypergraph partitioning problem. In particular, we describe schemes for parallel coarsening, parallel greedy k-way...
Aleksandar Trifunovic, William J. Knottenbelt
137
Voted
SMA
2008
ACM
286views Solid Modeling» more  SMA 2008»
15 years 4 months ago
Controlled field generation for quad-remeshing
Quadrangular remeshing of triangulated surfaces has received an increasing attention in recent years. A particularly elegant approach is the extraction of quads from the streamlin...
Oliver Schall, Rhaleb Zayer, Hans-Peter Seidel