Predicting the possibilistic score of OWL axioms through modified support vector clustering-Reference-Cited by-同舟云学术

Predicting the possibilistic score of OWL axioms through modified support vector clustering

Published:2018-04-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 33rd Annual ACM Symposium on Applied Computing
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Author:

Malchiodi Dario¹,Tettamanzi Andrea G. B.²

Affiliation:

1. Università degli Studi di Milano, Milano, Italy

2. Université Côte d'Azur, Inria, Sophia Antipolis, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3167132.3167345

Reference16 articles.

1. Interpolating support information granules

2. Bruno Apolloni Domenico Iannizzi Dario Malchiodi and Witold Pedrycz. 2005. Granular Regression. (2005) 147--156. 10.1007/11731177_22 Bruno Apolloni Domenico Iannizzi Dario Malchiodi and Witold Pedrycz. 2005. Granular Regression. (2005) 147--156. 10.1007/11731177_22

3. Support vector clustering;Ben-Hur Asa;Journal of machine learning research 2,2001

4. Universal OWL Axiom Enrichment for Large Knowledge Bases

5. D. Dubois and H. Prade. 1988. Possibility Theory---An Approach to Computerized Processing of Uncertainty. Plenum Press New York. D. Dubois and H. Prade. 1988. Possibility Theory---An Approach to Computerized Processing of Uncertainty. Plenum Press New York.

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