山口 高平

研究成果

年別の研究成果

1986 2020

• 463 被引用数
• 10 h-index
• 78 Conference contribution
• 30 Article
• 14 Conference article
• 9 Editorial
• 10 その他
  • 6 Chapter
  • 4 Paper

年別の研究成果

年別の研究成果

検索結果

• 2002

  Constructing inductive applications by meta-learning with method repositories

  Abe, H. & Yamaguchi, T., 2002 12 1, Progress in Discovery Science. Arikawa, S. & Shinohara, A. (eds.). p. 576-585 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2281).

  研究成果: Chapter

  • Meta-learning
  • Repository
  • Inductive Learning
  • Specification
  • Learning Algorithm
  2 被引用数 (Scopus)
• 2004

  Evaluation of rule interestingness measures with a clinical dataset on hepatitis

  Ohsaki, M., Kitaguchi, S., Okamoto, K., Yokoi, H. & Yamaguchi, T., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Boulicaut, J-F., Esposito, F., Giannotti, F. & Pedreschi, D. (eds.). Springer Verlag, p. 362-373 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3202).

  研究成果: Chapter

  Open Access

  • Evaluation
  • High Performance
  • Trends
  • Predict
  • Human
  62 被引用数 (Scopus)

• Towards on-the-fly ontology construction - Focusing on ontology quality improvement

  Sugiura, N., Shigeta, Y., Fukuta, N., Izumi, N. & Yamaguchi, T., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Bussler, C., Fensel, D., Davies, J., Fensel, D. & Studer, R. (eds.). Springer Verlag, p. 1-15 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3053).

  研究成果: Chapter

  • Quality Improvement
  • Ontology
  • Preprocessing
  • Prototype
  • Relationships
  6 被引用数 (Scopus)
• 2008

  Evaluating learning algorithms to support human rule evaluation with predicting interestingness based on objective rule evaluation indices

  Abe, H., Tsumoto, S., Ohsaki, M. & Yamaguchi, T., 2008, Communications and Discoveries from Multidisciplinary Data. p. 269-282 14 p. (Studies in Computational Intelligence; vol. 123).

  研究成果: Chapter

  • Learning algorithms
  • Data mining
  • Large dataset
  • Availability
  • Costs
• 2009

  Evaluating learning algorithms composed by a constructive meta-learning scheme for a rule evaluation support method

  Abe, H., Tsumoto, S., Ohsaki, M. & Yamaguchi, T., 2009, Mining Complex Data. Zighed, D., Hacid, H., Tsumoto, S. & Ras, Z. (eds.). p. 95-111 17 p. (Studies in Computational Intelligence; vol. 165).

  研究成果: Chapter

  • Learning algorithms
  • Large dataset
  • Learning systems
  • Data mining
  • Costs
  1 被引用数 (Scopus)
• 2014

  Multi-robot coordination based on ontologies and semantic web service

  Mori, Y., Ogawa, Y., Hikawa, A. & Yamaguchi, T., 2014 1 1, Knowledge Management and Acquisition for Smart Systems and Services - 13th Pacific Rim Knowledge Acquisition Workshop, PKAW 2014, Proceedings. Kim, Y. S., Kang, B. H. & Richards, D. (eds.). Springer Verlag, p. 150-164 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8863).

  研究成果: Chapter

  • Semantic Web Services
  • Multi-robot
  • Ontology
  • Service Robot
  • Semantic Web
  4 被引用数 (Scopus)