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SWAP
2008
15 years 2 months ago
Learning SHIQ+log Rules for Ontology Evolution
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
Francesca A. Lisi, Floriana Esposito
89
Voted
COGSCI
2008
129views more  COGSCI 2008»
15 years 26 days ago
A Rational Analysis of Rule-Based Concept Learning
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...
ILP
2005
Springer
15 years 6 months ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...
IDA
2000
Springer
15 years 17 days ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets
ESWS
2010
Springer
15 years 5 months ago
iSeM: Approximated Reasoning for Adaptive Hybrid Selection of Semantic Services
—We present an intelligent service matchmaker, called iSeM, for adaptive and hybrid semantic service selection that exploits the full semantic profile in terms of signature anno...
Matthias Klusch, Patrick Kapahnke