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» A Description Logic System for Learning in Complex Domains
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GIS
1992
ACM
14 years 1 hour ago
Machine Induction of Geospatial Knowledge
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
Peter A. Whigham, Robert I. McKay, J. R. Davis
KES
2008
Springer
13 years 7 months ago
Classification and Retrieval through Semantic Kernels
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
ILP
2007
Springer
14 years 2 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
ICSM
1997
IEEE
14 years 3 days ago
Reverse Architecting Approach for Complex Systems
Philips is an electronics company which operates world wide and participates in professional as well as consumer markets. The architecture of many software intensive systems are c...
René L. Krikhaar
SEKE
2010
Springer
13 years 6 months ago
Ontology-Based Test Case Generation For Simulating Complex Production Automation Systems
—The behavior of complex production automation systems is hard to predict, therefore simulation is used to study the likely system behavior. However, in a real-world system many ...
Thomas Moser, Gregor Dürr, Stefan Biffl