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» Taming the Complexity of Inductive Logic Programming
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ILP
2007
Springer
14 years 1 months ago
ILP : - Just Trie It
Abstract. Despite the considerable success of Inductive Logic Programming, deployed ILP systems still have efficiency problems when applied to complex problems. Several techniques ...
Rui Camacho, Nuno A. Fonseca, Ricardo Rocha, V&iac...
ICFP
2003
ACM
14 years 7 months ago
Software is discrete mathematics
A three-year study collected information bearing on the question of whether studying mathematics improves programming skills. An analysis of the data revealed significant differen...
Rex L. Page
ILP
2007
Springer
14 years 1 months ago
Combining Clauses with Various Precisions and Recalls to Produce Accurate Probabilistic Estimates
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
Mark Goadrich, Jude W. Shavlik
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
14 years 19 days ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
LCPC
2001
Springer
13 years 11 months ago
Strength Reduction of Integer Division and Modulo Operations
Integer division, modulo, and remainder operations are expressive and useful operations. They are logical candidates to express complex data accesses such as the wrap-around behav...
Jeffrey Sheldon, Walter Lee, Ben Greenwald, Saman ...