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» A Structured Set of Higher-Order Problems
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117
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ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 7 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
107
Voted
AUTOMATICA
2007
62views more  AUTOMATICA 2007»
15 years 2 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
126
Voted
ILP
2000
Springer
15 years 6 months 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
101
Voted
DNA
2006
Springer
15 years 6 months 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
134
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TSP
2008
151views more  TSP 2008»
15 years 2 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