Nonlinear Relational Markov Networks with an Application to the Game of Go

Author:

Raiko Tapani

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Bouzy, B.: Mathematical morphology applied to computer go. IJPRAI, 17(2) (2003)

2. Graepel, T., Stern, D., MacKay, D.: Modelling uncertainty in the game of Go. In: Proc. of the Conference on Neural Information Processing Systems, Vancouver (December 2004)

3. Hinton, G.E.: Modelling high-dimensional data by combining simple experts. In: Proc. AAAI 2000, Austin, Texas (2000)

4. Jordan, M., Ghahramani, Z., Jaakkola, T., Saul, L.: An introduction to variational methods for graphical models. In: Jordan, M. (ed.) Learning in Graphical Models, pp. 105–161. The MIT Press, Cambridge (1999)

5. Müller, M.: Computer Go. Special issue on games of Artificial Intelligence Journal (2001)

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