A Generic Kernel for Various RDF Graphs

Many kernels for RDF graphs have been designed to apply to machine learning such as classification and clustering. However, the performances of these kernels are affected by the variety of RDF graphs and machine learning problems. For dealing with the lack of robustness, this study proposes a generi...

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Veröffentlicht in:	Transactions of the Japanese Society for Artificial Intelligence 2018/09/01, Vol.33(5), pp.B-I12_1-14
Hauptverfasser:	Arai, Daichi, Kaneiwa, Ken
Format:	Artikel
Sprache:	eng ; jpn
Schlagworte:	Artificial intelligence Classification Clustering Feature extraction Graphs kernel Kernel functions Machine learning RDF Recursive functions semantic web
Online-Zugang:	Volltext
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