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» Automating first-order relational logic
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ILP
2007
Springer
15 years 6 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
ADBIS
2001
Springer
108views Database» more  ADBIS 2001»
15 years 5 months ago
An RMM-Based Methodology for Hypermedia Presentation Design
Due to the rapid growth of the Web, there is an increasing need for methodologies that support the design of Web-based Information Systems (WIS). After investigating the applicatio...
Flavius Frasincar, Geert-Jan Houben, Richard Vdovj...
113
Voted
ILP
2003
Springer
15 years 5 months ago
Hybrid Abductive Inductive Learning: A Generalisation of Progol
The learning system Progol5 and the underlying inference method of Bottom Generalisation are firmly established within Inductive Logic Programming (ILP). But despite their success...
Oliver Ray, Krysia Broda, Alessandra Russo
97
Voted
LPNMR
1997
Springer
15 years 4 months ago
Power Defaults
This paper introduces power default reasoning (PDR), a framework for nonmonotonic reasoning based on the domain-theoretic idea of modeling default rules with partial-information i...
Guo-Qiang Zhang, William C. Rounds
125
Voted
KR
2000
Springer
15 years 4 months ago
Reasoning with Axioms: Theory and Practice
When reasoning in description, modal or temporal logics it is often useful to consider axioms representing universal truths in the domain of discourse. Reasoning with respect to a...
Ian Horrocks, Stephan Tobies