Author:
Agakov Felix V.,Barber David
Publisher
Springer Berlin Heidelberg
Reference8 articles.
1. Agakov, F.V., Barber, D.: An Auxiliary Variational Method. Technical report, EDI-INF-RR-0205, School of Informatics, University of Edinburgh (2004)
2. Barber, D., Sollich, P.: Gaussian fields for approximate inference. In: Neural Information Processing Systems 12. The MIT Press, Cambridge (2000)
3. El-Hay, T., Friedman, N.: Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables. In: UAI (2002)
4. Jaakkola, T.S., Jordan, M.I.: Improving the Mean Field Approximation via the Use of Mixture Distributions. In: Jordan, M.I. (ed.) Learning in Graphical Models. Kluwer Academic Publishers, Dordrecht (1998)
5. Jordan, M.I., Ghahramani, Z., Jaakkola, T.S., Saul, L.K.: An Introduction to Variational Methods for Graphical Models. In: Jordan, M.I. (ed.) Learning in Graphical Models, ch.1. Kluwer Academic Publishers, Dordrecht (1998)
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献