Mean field methods for classification with Gaussian processes

Manfred Opper; Ole Winther; Michael S. Kearns; Sara A. Solla; David A. Cohn

Mean field methods for classification with Gaussian processes

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

Aston University

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

94 Downloads (Pure)

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 language	English
Pages (from-to)	309-315
Number of pages	7
Journal	Advances in Neural Information Processing Systems
Volume	11
Publication status	Published - 1999
Event	Advances in Neural Information Processing Systems 1999 - Dublin, Ireland Duration: 3 Aug 1999 → 6 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

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title = "Mean field methods for classification with Gaussian processes",

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.",

keywords = "mean field, statistical mechanics, Bayesian classification, Gaussian processes, simulation results, sonar data sets",

author = "Manfred Opper and Ole Winther and Kearns, \{Michael S.\} and Solla, \{Sara A.\} and Cohn, \{David A.\}",

note = "Copyright of the Massachusetts Institute of Technology Press (MIT Press); Advances in Neural Information Processing Systems 1999 ; Conference date: 03-08-1999 Through 06-08-1999",

year = "1999",

language = "English",

volume = "11",

pages = "309--315",

journal = "Advances in Neural Information Processing Systems",

issn = "1049-5258",

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T1 - Mean field methods for classification with Gaussian processes

AU - Opper, Manfred

AU - Winther, Ole

A2 - Kearns, Michael S.

A2 - Solla, Sara A.

A2 - Cohn, David A.

N1 - Copyright of the Massachusetts Institute of Technology Press (MIT Press)

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

KW - mean field

KW - statistical mechanics

KW - Bayesian classification

KW - Gaussian processes

KW - simulation results

KW - sonar data sets

UR - http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=4746

UR - https://www.scopus.com/pages/publications/0039814276

M3 - Article

SN - 1049-5258

VL - 11

SP - 309

EP - 315

JO - Advances in Neural Information Processing Systems

JF - Advances in Neural Information Processing Systems

T2 - Advances in Neural Information Processing Systems 1999

Y2 - 3 August 1999 through 6 August 1999

ER -

Mean field methods for classification with Gaussian processes

Abstract

Bibliographical note

Keywords

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