Studies on the generalisation of Gaussian processes and Bayesian neural networks

Gaussian Processes for Machine Learning

Rasmussen, C.E.
Williams, C.K.I.

January 2006

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kern...

Gaussian processes for machine learning

Rasmussen, Carl Edward
Williams, Christopher K I

January 2006

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, p...

Neural networks and genetic algorithms Genetic algorithms

IBC Technical Services Ltd., London (United Kingdom)

January 1992

In 2 vols.; day one neural networks and day two genetic algorithmsAvailable from British Library Doc...

Theoretical aspects of generalization in feed-forward neural networks

Potter, K.R.

January 1996

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN018487 / BLDSC - British Library D...

Studies on the generalisation of Gaussian processes and Bayesian neural networks

Vivarelli, Francesco

The assessment of the reliability of systems which learn from data is a key issue to investigate tho...

Robust full Bayesian learning for neural networks

Doucet, A.
Andrieu, C.
Freitas, J. de
Cambridge Univ. (United Kingdom). Dept. of Engineering

January 1999

Draft versionSIGLEAvailable from British Library Document Supply Centre-DSC:9106.170(CUED/F-INFENG/T...

Efficient covariance matrix methods for Bayesian Gaussian processes and Hopfield neural networks

Storkey, A.J.

January 2000

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN034642 / BLDSC - British Library D...

Statistical mechanics of neural networks

Rau, A

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:D98307 / BLDSC - British Library Doc...

A study of artifical neural networks and their learning algorithms

Sanossian, H.Y.Y.

January 1992

SIGLEAvailable from British Library Document Supply Centre-DSC:DX203131 / BLDSC - British Library Do...

Gaussian Processes - A Replacement for Supervised Neural Networks?

David J.C. MacKay

January 1997

This paper will discuss how a Gaussian process, which describes a probability distribution over an i...

Theory and applications of neural networks

Wray, J

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:DX175085 / BLDSC - British Library D...

Investigation of a generalised version of Amari's continuous model for neural networks

Roque da Silva Filho, A.C

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:DX188532 / BLDSC - British Library D...

Neural networks and genetic algorithms Neural networks

IBC Technical Services Ltd., London (United Kingdom)

January 1992

In 2 vols.; day one neural networks and day two genetic algorithmsAvailable from British Library Doc...

Statistical mechanical studies of autoassociative and feedforward neural networks

O'Kane, D

January 1993

SIGLEAvailable from British Library Document Supply Centre- DSC:D178558 / BLDSC - British Library Do...

Evaluation of Gaussian processes and other methods for non-linear regression

Rasmussen, Carl Edward

January 1997

grantor: University of TorontoThis thesis develops two Bayesian learning methods relying o...

Gaussian Processes for Machine Learning

Rasmussen, C.E.
Williams, C.K.I.

January 2006

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kern...

Gaussian processes for machine learning

Rasmussen, Carl Edward
Williams, Christopher K I

January 2006

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, p...

Neural networks and genetic algorithms Genetic algorithms

IBC Technical Services Ltd., London (United Kingdom)

January 1992

In 2 vols.; day one neural networks and day two genetic algorithmsAvailable from British Library Doc...

Theoretical aspects of generalization in feed-forward neural networks

Potter, K.R.

January 1996

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN018487 / BLDSC - British Library D...

Studies on the generalisation of Gaussian processes and Bayesian neural networks

Vivarelli, Francesco

The assessment of the reliability of systems which learn from data is a key issue to investigate tho...

Robust full Bayesian learning for neural networks

Doucet, A.
Andrieu, C.
Freitas, J. de
Cambridge Univ. (United Kingdom). Dept. of Engineering

January 1999

Draft versionSIGLEAvailable from British Library Document Supply Centre-DSC:9106.170(CUED/F-INFENG/T...

Efficient covariance matrix methods for Bayesian Gaussian processes and Hopfield neural networks

Storkey, A.J.

January 2000

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN034642 / BLDSC - British Library D...

Statistical mechanics of neural networks

Rau, A

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:D98307 / BLDSC - British Library Doc...

A study of artifical neural networks and their learning algorithms

Sanossian, H.Y.Y.

January 1992

SIGLEAvailable from British Library Document Supply Centre-DSC:DX203131 / BLDSC - British Library Do...

Gaussian Processes - A Replacement for Supervised Neural Networks?

David J.C. MacKay

January 1997

This paper will discuss how a Gaussian process, which describes a probability distribution over an i...

Theory and applications of neural networks

Wray, J

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:DX175085 / BLDSC - British Library D...

Investigation of a generalised version of Amari's continuous model for neural networks

Roque da Silva Filho, A.C

January 1992

SIGLEAvailable from British Library Document Supply Centre- DSC:DX188532 / BLDSC - British Library D...

Neural networks and genetic algorithms Neural networks

IBC Technical Services Ltd., London (United Kingdom)

January 1992

In 2 vols.; day one neural networks and day two genetic algorithmsAvailable from British Library Doc...

Statistical mechanical studies of autoassociative and feedforward neural networks

O'Kane, D

January 1993

SIGLEAvailable from British Library Document Supply Centre- DSC:D178558 / BLDSC - British Library Do...

Evaluation of Gaussian processes and other methods for non-linear regression

Rasmussen, Carl Edward

January 1997

grantor: University of TorontoThis thesis develops two Bayesian learning methods relying o...

Gaussian Processes for Machine Learning

Rasmussen, C.E.
Williams, C.K.I.

January 2006

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kern...

Gaussian processes for machine learning

Rasmussen, Carl Edward
Williams, Christopher K I

January 2006

A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, p...

Neural networks and genetic algorithms Genetic algorithms

IBC Technical Services Ltd., London (United Kingdom)

January 1992

In 2 vols.; day one neural networks and day two genetic algorithmsAvailable from British Library Doc...

Studies on the generalisation of Gaussian processes and Bayesian neural networks

Abstract

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Studies on the generalisation of Gaussian processes and Bayesian neural networks

Abstract

Extracted data

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