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ICML
2009
IEEE
16 years 7 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
DASFAA
2007
IEEE
138views Database» more  DASFAA 2007»
16 years 24 days ago
An Original Semantics to Keyword Queries for XML Using Structural Patterns
XML is by now the de facto standard for exporting and exchanging data on the web. The need for querying XML data sources whose structure is not fully known to the user and the need...
Dimitri Theodoratos, Xiaoying Wu
NAR
2011
162views Computer Vision» more  NAR 2011»
14 years 9 months ago
GlycomeDB - a unified database for carbohydrate structures
GlycomeDB integrates the structural and taxonomic data of all major public carbohydrate databases, as well as carbohydrates contained in the Protein Data Bank, which renders the d...
René Ranzinger, Stephan Herget, Claus-Wilhe...
SOCIALCOM
2010
15 years 4 months ago
Graph Comparison Using Fine Structure Analysis
We introduce a novel technique for comparing graphs using the structure of their subgraphs, which we call a graph's fine structure. Our technique compares graphs using the ear...
Owen Macindoe, Whitman Richards
ECCV
1990
Springer
16 years 8 months ago
Finding Geometric and Relational Structures in an Image
Abstract We present a method for extracting geometric and relational structures from raw intensity data. On one hand, low-level image processing extracts isolated features. On the ...
Radu Horaud, Francoise Veillon, Thomas Skordas