| Reviews and Tutorials
|
Tutorials:
Some review papers:
- Murray, I. and Ghahramani, Z. (2005)
A note on the evidence and Bayesian
Occam’s razor.
Gatsby Unit Technical Report GCNU-TR
2005-003. August 2005. [Abstract, PDF, DjVu, JavaDjVu].
- Ghahramani (2004)
Unsupervised Learning.
In Bousquet, O., Raetsch, G. and von Luxburg, U. (eds) Advanced
Lectures on Machine Learning LNAI 3176. Springer-Verlag.
- Ghahramani, Z. (2002)
Information Theory.
In Encyclopedia of Cognitive Science. Maxmillan Reference Ltd.
- Rasmussen, C.E., and
Ghahramani, Z (2001)
Occam's Razor [ps] [pdf]
In Leen, T.K., Dietterich, T.G., and Tresp, V. (eds) Neural
Information Processing Systems 13:294-300. MIT Press.
-
Wolpert DM,
Ghahramani Z, Flanagan JR (2001)
Perspectives and problems in motor learning
Trends in Cognitive Science 5(11):487-494.
- Ghahramani, Z. (2001)
An Introduction to Hidden Markov Models and Bayesian Networks [ps] [pdf]
International Journal of Pattern Recognition and
Artificial Intelligence 15(1):9-42.
- Wolpert, D.M. and
Ghahramani, Z. (2000)
Computational Principles of
Movement Neuroscience .
Nature Neuroscience
3 supp:1212--1217.
- Jordan, M.I, Ghahramani, Z., Jaakkola, T.S., and Saul, L.K. (1999)
An introduction to variational methods for graphical models
Machine Learning 37:183-233.
- Roweis, S. and
Ghahramani, Z. (1999)
A Unifying Review of Linear Gaussian Models
Neural Computation 11(2):305--345 [abstract]
- Ghahramani, Z. (1998)
Learning Dynamic Bayesian Networks
In C.L. Giles and M. Gori (eds.), Adaptive Processing
of Sequences and Data Structures . Lecture Notes in Artificial
Intelligence, 168-197. Berlin: Springer-Verlag. [abstract]
- Ghahramani, Z. and Jordan, M.I. (1994)
Learning from incomplete data [pdf] [ps.gz]
MIT Center for Biological and Computational
Learning Technical Report 108, 16 pages.
[abstract]