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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 5 months 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
15 years 8 days 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
15 years 3 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
15 years 3 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»
15 years 4 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