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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 25 days ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
ECAI
2010
Springer
13 years 7 months ago
The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
Johan Kwisthout, Hans L. Bodlaender, Linda C. van ...
SPAA
2000
ACM
13 years 11 months ago
Compact, multilayer layout for butterfly fat-tree
Modern VLSI processing supports a two-dimensional surface for active devices along with multiple stacked layers of interconnect. With the advent of planarization, the number of la...
André DeHon
NOSSDAV
1995
Springer
13 years 11 months ago
Storage Replication and Layout in Video-on-Demand Servers
We propose and analyze an architecture for storage servers in large Video on Demand (VoD) systems. We describe a method for distributing the collection of titles among the levels o...
Scott D. Stoller, John DeTreville
NN
1997
Springer
174views Neural Networks» more  NN 1997»
13 years 11 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani