1. Bishop C (2006) Pattern recognition and machine learning. Springer, New York
2. Boyen X, Koller D (1998) Tractable inference for complex stochastic processes. In: Proceedings of uncertainty in AI. Morgan Kaufmann, San Francisco, pp 33–42
3. Bui T, Poel M, Nijholt A, Zwiers J (2009) A tractable hybrid DDN-POMDP approach to affective dialogue modeling for probabilistic frame-based dialogue systems. Nat Lang Eng 15(2):273–307
4. Henderson J, Lemon O (2008) Mixture model POMDPs for efficient handling of uncertainty in dialogue management. In: Proceedings of ACL/HLT. Association for Computational Linguistics, Ohio, pp 73–76
5. Jensen F (2001) Bayesian networks and decision graphs. Statistics for engineering and information science. Springer, Heidelberg