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» Learning Correction Grammars
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81
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ECML
2006
Springer
15 years 4 months ago
Why Is Rule Learning Optimistic and How to Correct It
Abstract. In their search through a huge space of possible hypotheses, rule induction algorithms compare estimations of qualities of a large number of rules to find the one that ap...
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bra...
75
Voted
KBSE
2008
IEEE
15 years 7 months ago
APPAREIL: A Tool for Building Automated Program Translators Using Annotated Grammars
—Operations languages are used to write spacecraft operations procedures. The APPAREIL tool automates the process of generating program translators between operations languages, ...
Diego Ordóñez Camacho, Kim Mens
HYBRID
2007
Springer
15 years 4 months ago
Solving Coverage Problems with Embedded Graph Grammars
We show how Embedded Graph Grammars (EGGs) are used to specify local interaction rules between mobile robots in a natural manner. This formalism allows us to treat local network to...
John-Michael McNew, Eric Klavins, Magnus Egerstedt
111
Voted
BMCBI
2010
133views more  BMCBI 2010»
15 years 24 days ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
120
Voted
ECCV
2010
Springer
15 years 3 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...