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» A Structured Set of Higher-Order Problems
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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
14 years 2 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
AUTOMATICA
2007
62views more  AUTOMATICA 2007»
13 years 9 months ago
Further results on structural assignment of linear systems via sensor selection
The problem of assigning structural properties of a linear system through sensor selection is, for a given pair (A, B), to find an output pair (C, D) such that the resulting syst...
Xinmin Liu, Zongli Lin, Ben M. Chen
ILP
2000
Springer
14 years 15 days ago
Decomposing Probability Distributions on Structured Individuals
Naive Bayesian classifiers have been very successful in attribute-value representations. However, it is not clear how the decomposition of the probability distributions on attribu...
Peter A. Flach, Nicolas Lachiche
DNA
2006
Springer
14 years 18 days ago
Hairpin Structures Defined by DNA Trajectories
We examine scattered hairpins, which are structures formed when a single strand of nucleotides folds into a partially hybridized stem and a loop. To specify different classes of h...
Michael Domaratzki
TSP
2008
151views more  TSP 2008»
13 years 8 months ago
Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
Moshe Mishali, Yonina C. Eldar