Mean field methods for classification with Gaussian processes

Manfred Opper, Ole Winther, Michael S. Kearns (Editor), Sara A. Solla (Editor), David A. Cohn (Editor)

    Research output: Contribution to journalArticle

    Abstract

    We discuss the Application of TAP mean field methods known from Statistical Mechanics of disordered systems to Bayesian classification with Gaussian processes. In contrast to previous applications, no knowledge about the distribution of inputs is needed. Simulation results for the Sonar data set are given.
    Original languageEnglish
    Pages (from-to)309-315
    Number of pages7
    JournalAdvances in Neural Information Processing Systems
    Volume11
    Publication statusPublished - 1999
    EventAdvances in Neural Information Processing Systems 1999 - Dublin, Ireland
    Duration: 3 Aug 19996 Aug 1999

    Bibliographical note

    Copyright of the Massachusetts Institute of Technology Press (MIT Press)

    Keywords

    • mean field
    • statistical mechanics
    • Bayesian classification
    • Gaussian processes
    • simulation results
    • sonar data sets

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  • Cite this

    Opper, M., Winther, O., Kearns, M. S. (Ed.), Solla, S. A. (Ed.), & Cohn, D. A. (Ed.) (1999). Mean field methods for classification with Gaussian processes. Advances in Neural Information Processing Systems, 11, 309-315.