Acquisition of Multiple Graph Structured Patterns by an Evolutionary Method Using Sets of TTSP Graph Patterns as Individuals
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Yamagata:2017:IIAI-AAI,
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author = "Yuuki Yamagata and Tetsuhiro Miyahara and
Yusuke Suzuki and Tomoyuki Uchida and Fumiya Tokuhara and
Tetsuji Kuboyama",
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booktitle = "2017 6th IIAI International Congress on Advanced
Applied Informatics (IIAI-AAI)",
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title = "Acquisition of Multiple Graph Structured Patterns by
an Evolutionary Method Using Sets of TTSP Graph
Patterns as Individuals",
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year = "2017",
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pages = "459--464",
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abstract = "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 scheduling. We
propose a learning method for acquiring characteristic
multiple graph structured patterns by evolutionary
computation using sets of TTSP graph patterns as
individuals, from positive and negative TTSP graph
data, in order to represent sets of TTSP graphs more
precisely.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/IIAI-AAI.2017.198",
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month = jul,
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notes = "Also known as \cite{8113288}",
- }
Genetic Programming entries for
Yuuki Yamagata
Tetsuhiro Miyahara
Yusuke Suzuki
Tomoyuki Uchida
Fumiya Tokuhara
Tetsuji Kuboyama
Citations