upload_8526_gp.bib

This folder holds the following references to publications, sorted by year and author.

There are 12 references in this bibliography folder.

Williams, CK and Seeger, M (2000).
The Effect of the Input Density Distribution on Kernel-based Classifiers
In: Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), ed. by Langley, P., Morgan Kaufmann.

Williams, CK and Vivarelli, F (2000).
Upper and lower bounds on the learning curve for Gaussian processes
Machine Learning, 40(1):77-102.

Ferrari Trecate, G, Williams, CK, and Opper, M (1999).
Finite-dimensional approximation of Gaussian processes
In: Advances in Neural Information Processing Systems 11, ed. by Kearns, M. S. and Solla, S. A. and Cohn, D. A., pp. 218-224, MIT Press.

Vivarelli, F and Williams, CK (1999).
Discovering hidden features with Gaussian processes regression
In: Advances in Neural Information Processing Systems 11, ed. by Kearns, M. S. and Solla, S. A. and Cohn, D. A., MIT Press.

Goldberg, PW, Williams, CK, and Bishop, CM (1998).
Regression with Input-dependent Noise: A Gaussian Process Treatment
In: Advances in Neural Information Processing Systems 10, ed. by Jordan, M. I. and Kearns, M. J. and Solla, S. A., MIT Press, Cambridge, MA.

Williams, CK (1998).
Computation with infinite neural networks
Neural Computation, 10(5):1203-1216 url = http://www.dai.ed.ac.uk/daidb/people/homes/ckiw/online_pubs.html.

Williams, CK (1998).
Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and beyond
In: Learning in Graphical Models, ed. by Jordan, M. I., pp. 599-621, Kluwer Academic.

Williams, CK and Barber, D (1998).
Bayesian classification with Gaussian processes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(12):1342-1351.

Zhu, H, Williams, CK, Rohwer, RJ, and Morciniec, M (1998).
Gaussian regression and optimal finite dimensional linear models
In: Neural Networks and Machine Learning, ed. by C. M. Bishop, Springer-Verlag, Berlin.

Barber, D and Williams, CK (1997).
Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo
In: Advances in Neural Information Processing Systems 9, ed. by Mozer, M. C. and Jordan, M. I. and Petsche, T., MIT Press.

Williams, CK (1997).
Computing with infinite networks
In: Advances in Neural Information Processing Systems 9, ed. by Mozer, M. C. and Jordan, M. I. and Petsche, T., MIT Press.

Williams, CK and Rasmussen, CE (1996).
Gaussian processes for regression
In: Advances in Neural Information Processing Systems 8, ed. by Touretzky, D. S. and Mozer, M. C. and Hasselmo, M. E., pp. 514-520, MIT Press.