The Value of Observation for Monitoring Dynamic Systems
暂无分享,去创建一个
[1] Keiji Kanazawa,et al. A model for reasoning about persistence and causation , 1989 .
[2] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[3] Simon J. Godsill,et al. On sequential simulation-based methods for Bayesian filtering , 1998 .
[4] Xavier Boyen,et al. Tractable Inference for Complex Stochastic Processes , 1998, UAI.
[5] David A. McAllester,et al. Approximate Planning for Factored POMDPs using Belief State Simplification , 1999, UAI.
[6] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[7] Leonid Peshkin,et al. Factored Particles for Scalable Monitoring , 2002, UAI.
[8] Yishay Mansour,et al. A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes , 1999, Machine Learning.
[9] P. Moral. Feynman-Kac Formulae: Genealogical and Interacting Particle Systems with Applications , 2004 .
[10] Alex Bateman,et al. An introduction to hidden Markov models. , 2007, Current protocols in bioinformatics.