Supervised graph inference

Jean Philippe Vert, Yoshihiro Yamanishi

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    46 引用 (Scopus)

    抜粋

    We formulate the problem of graph inference where part of the graph is known as a supervised learning problem, and propose an algorithm to solve it. The method involves the learning of a mapping of the vertices to a Euclidean space where the graph is easy to infer, and can be formulated as an optimization problem in a reproducing kernel Hilbert space. We report encouraging results on the problem of metabolic network reconstruction from genomic data.

    元の言語英語
    ホスト出版物のタイトルAdvances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004
    出版者Neural information processing systems foundation
    ISBN(印刷物)0262195348, 9780262195348
    出版物ステータス出版済み - 2005
    イベント18th Annual Conference on Neural Information Processing Systems, NIPS 2004 - Vancouver, BC, カナダ
    継続期間: 12 13 200412 16 2004

    出版物シリーズ

    名前Advances in Neural Information Processing Systems
    ISSN(印刷物)1049-5258

    その他

    その他18th Annual Conference on Neural Information Processing Systems, NIPS 2004
    カナダ
    Vancouver, BC
    期間12/13/0412/16/04

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

    フィンガープリント Supervised graph inference' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Vert, J. P., & Yamanishi, Y. (2005). Supervised graph inference. : Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004 (Advances in Neural Information Processing Systems). Neural information processing systems foundation.