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» Inclusion-Based Approximate Reasoning
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ICCBR
2003
Springer
14 years 29 days ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
ILP
2001
Springer
14 years 5 days ago
Learning Functions from Imperfect Positive Data
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
Filip Zelezný
AUSAI
1999
Springer
14 years 1 days ago
Computing Least Common Subsumers in Expressive Description Logics
Computing least common subsumers in description logics is an important reasoning service useful for a number of applications. As shown in the literature, this reasoning service ca...
Thomas Mantay
ATAL
2006
Springer
13 years 11 months ago
Automated semantic web service discovery with OWLS-MX
We present an approach to hybrid semantic Web service matching that complements logic based reasoning with approximate matching based on syntactic IR based similarity computations...
Matthias Klusch, Benedikt Fries, Katia P. Sycara
GIS
2010
ACM
13 years 6 months ago
Scalable shortest paths browsing on land surface
The growing popularity of online Earth visualization tools and geo-realistic games and the availability of high resolution terrain data have motivated a new class of queries to th...
Songhua Xing, Cyrus Shahabi