Chiappa, S Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society; Max Planck Institute for Biological Cybernetics, Max Planck Society;
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4724948 (Verlagsversion)
Chiappa, S. (2008). A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation. In A. Wani, X.-W. Chen, D. Casasent, L. Curgan, T. Hu, & K. Hafeez (Eds.), 2008 Seventh International Conference on Machine Learning and Applications (pp. 3-9). Piscataway, NJ, USA: IEEE.