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HIS
2008
14 years 11 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
KES
2007
Springer
15 years 4 months ago
A Hierarchical Clustering Method for Semantic Knowledge Bases
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
Nicola Fanizzi, Claudia d'Amato
ICCBR
2005
Springer
15 years 3 months ago
A Knowledge-Intensive Method for Conversational CBR
In conversational case-based reasoning (CCBR), a main problem is how to select the most discriminative questions and display them to users in a natural way to alleviate users’ co...
Mingyang Gu, Agnar Aamodt
ISOLA
2010
Springer
14 years 8 months ago
LivingKnowledge: Kernel Methods for Relational Learning and Semantic Modeling
Latest results of statistical learning theory have provided techniques such us pattern analysis and relational learning, which help in modeling system behavior, e.g. the semantics ...
Alessandro Moschitti
KR
2004
Springer
15 years 3 months ago
A Split-Combination Method for Merging Inconsistent Possibilistic Knowledge Bases
In this paper, a new method for merging multiple inconsistent knowledge bases in the framework of possibilistic logic is presented. We divide the fusion process into two steps: on...
Guilin Qi, Weiru Liu, David H. Glass