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Chiappa, S., J. Kober and J. Peters: Using Bayesian Dynamical Systems for Motion Template Libraries. In: Advances in Neural Information Processing Systems 21: Proceedings of the 2008 Conference (2009) 297-304.
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Chiappa, S., H. Saigo and K. Tsuda: A Bayesian Approach to Graph Regression with Relevant Subgraph Selection. In: Proceedings of the 2009 SIAM International Conference on Data Mining (SDM 2009) (2009) 295-304.
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Chiappa, S.: A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation. In: Proceedings of the 7th International Conference on Machine Learning and Applications (ICMLA 2008) (2008) 3-9.
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Sun, X.: A Kernel Test of Nonlinear Granger Causality. In: Proceedings of the Workshop on Inference and Estimation in Probabilistic Time-Series Models (2008) 79-89.
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Chiappa, S. and D. Barber: Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models. In: Proceedings of the 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007) (2007) 446-451.
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