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» Kronecker Graphs: An Approach to Modeling Networks
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ICANN
2007
Springer
14 years 2 months ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
CIKM
2011
Springer
12 years 8 months ago
Estimating selectivity for joined RDF triple patterns
A fundamental problem related to RDF query processing is selectivity estimation, which is crucial to query optimization for determining a join order of RDF triple patterns. In thi...
Hai Huang 0003, Chengfei Liu
ALMOB
2006
138views more  ALMOB 2006»
13 years 8 months ago
A combinatorial optimization approach for diverse motif finding applications
Background: Discovering approximately repeated patterns, or motifs, in biological sequences is an important and widely-studied problem in computational molecular biology. Most fre...
Elena Zaslavsky, Mona Singh
AI
2002
Springer
13 years 8 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
NIPS
2004
13 years 10 months ago
Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks
We introduce a computationally efficient method to estimate the validity of the BP method as a function of graph topology, the connectivity strength, frustration and network size....
Joris M. Mooij, Hilbert J. Kappen