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» Structural Inference of Hierarchies in Networks
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IPPS
2006
IEEE
15 years 7 months ago
Parallelization of module network structure learning and performance tuning on SMP
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Hongshan Jiang, Chunrong Lai, Wenguang Chen, Yuron...
POPL
2007
ACM
16 years 1 months ago
Modular type classes
ML modules and Haskell type classes have proven to be highly effective tools for program structuring. Modules emphasize explicit configuration of program components and the use of...
Derek Dreyer, Robert Harper, Manuel M. T. Chakrava...
CVPR
2003
IEEE
15 years 6 months ago
ROD-TV: Reconstruction on Demand by Tensor Voting
A “graphics for vision” approach is proposed to address the problem of reconstruction from a large and imperfect data set: reconstruction on demand by tensor voting, or ROD-TV...
Wai-Shun Tong, Chi-Keung Tang
UAI
2004
15 years 2 months ago
Dynamical Systems Trees
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
Andrew Howard, Tony Jebara
BMCBI
2006
101views more  BMCBI 2006»
15 years 1 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...