Hessian Corrected Input Noise Models-Reference-Cited by-同舟云学术

Hessian Corrected Input Noise Models

Published:2013 Issue: Volume: Page:1-8
ISSN:0302-9743
Container-title:Artificial Neural Networks and Machine Learning – ICANN 2013
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Author:

Bócsi Botond Attila,Csató Lehel

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-40728-4_1

Reference14 articles.

1. Bishop, C.M.: Training with noise is equivalent to Tikhonov regularization. Neural Computation 7(1), 108–116 (1995)

2. Dallaire, P., Besse, C., Chaib-draa, B.: An approximate inference with Gaussian process to latent functions from uncertain data. Neuroc. 74(11), 1945–1955 (2011)

3. Evans, L.: Partial Differential Equations. Graduate Studies in Mathematics. American Mathematical Society (2010)

4. Frank, A., Asuncion, A.: UCI machine learning repository (2010), http://archive.ics.uci.edu/ml

5. Girard, A., Murray-Smith, R.: Learning a Gaussian process model with uncertain inputs. Tech. rep., University of Glasgow, Department of Computing Science (2003)

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