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AAAI
2010
13 years 11 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
BMCBI
2007
128views more  BMCBI 2007»
13 years 9 months ago
A robust and efficient algorithm for the shape description of protein structures and its application in predicting ligand bindin
Background: An accurate description of protein shape derived from protein structure is necessary to establish an understanding of protein-ligand interactions, which in turn will l...
Lei Xie, Philip E. Bourne
BMCBI
2010
95views more  BMCBI 2010»
13 years 10 months ago
Protein structure modelling and evaluation based on a 4-distance description of side-chain interactions
Background: Accurate evaluation and modelling of residue-residue interactions within and between proteins is a key aspect of computational structure prediction including homology ...
Vladimir Potapov, Mati Cohen, Yuval Inbar, Gideon ...
ICDAR
2007
IEEE
14 years 1 months ago
Contribution of Multiresolution Description for Archive Document Structure Recognition
When reading a document, we intuitively have a first global approach in order to determine the whole structure, before reading parts in details. We propose to apply the same kind ...
Aurélie Lemaitre, Jean Camillerapp, Bertran...
WWW
2006
ACM
14 years 10 months ago
Structuring namespace descriptions
Namespaces are a central building block of XML technologies today, they provide the identification mechanism for many XML-related vocabularies. Despite their ubiquity, there is no...
Erik Wilde