Fumiya Tokuhara

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Machine learning and data mining from graph structured data have been studied intensively. Many chemical compounds can be expressed by outerplanar graphs. We use block preserving outerplanar graph(More)
We consider evolutionary learning, based on Genetic Programming, for acquiring characteristic graph structures from positive and negative outerplanar graph data. We use block preserving outerplanar(More)
Knowledge acquisition from graph structured data is an important task in machine learning and data mining. TTSP (Two-Terminal Series Parallel) graphs are used as data models for electric networks and(More)
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