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» Representing and Reasoning with Operational Semantics
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145
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COLT
1994
Springer
15 years 3 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
126
Voted
PODS
1995
ACM
139views Database» more  PODS 1995»
15 years 3 months ago
Normalizing Incomplete Databases
Databases are often incomplete because of the presence of disjunctive information, due to con icts, partial knowledge and other reasons. Queries against such databases often ask q...
Leonid Libkin
SIGSOFT
2002
ACM
16 years 11 days ago
Improving program slicing with dynamic points-to data
Program slicing is a potentially useful analysis for aiding program understanding. However, slices of even small programs are often too large to be generally useful. Imprecise poi...
Markus Mock, Darren C. Atkinson, Craig Chambers, S...
SEMWEB
2009
Springer
15 years 6 months ago
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
To cope with society’s demand for transparency and corruption prevention, the Brazilian Office of the Comptroller General (CGU) has carried out a number of actions, including: aw...
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar...
101
Voted
CIVR
2007
Springer
177views Image Analysis» more  CIVR 2007»
15 years 5 months ago
Matching ottoman words: an image retrieval approach to historical document indexing
Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge vo...
Esra Ataer, Pinar Duygulu