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» Pertinent Background Knowledge for Learning Protein Grammars
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ECML
2006
Springer
13 years 6 months ago
Pertinent Background Knowledge for Learning Protein Grammars
Christopher H. Bryant, Daniel Fredouille, Alex Wil...
ICGI
2000
Springer
13 years 8 months ago
Constructive Learning of Context-Free Languages with a Subpansive Tree
A subpansive tree is a rooted tree that gives a partial order of nonterminal symbols of a context-free grammar. We formalize subpansive trees as background knowledge of CFGs, and i...
Noriko Sugimoto, Takashi Toyoshima, Shinichi Shimo...
CIKM
2009
Springer
13 years 11 months ago
MKEM: a multi-level knowledge emergence model for mining undiscovered public knowledge
Background: Since Swanson proposed the Undiscovered Public Knowledge (UPK) model, there have been many approaches to uncover UPK by mining the biomedical literature. These earlier...
Ali Zeeshan Ijaz, Min Song, Doheon Lee
BMCBI
2010
125views more  BMCBI 2010»
13 years 4 months ago
Large-scale prediction of protein-protein interactions from structures
Background: The prediction of protein-protein interactions is an important step toward the elucidation of protein functions and the understanding of the molecular mechanisms insid...
Martial Hue, Michael Riffle, Jean-Philippe Vert, W...
COLT
1994
Springer
13 years 8 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton