Using hidden non-Markovian Models to reconstruct system behavior in partially-observable systems
暂无分享,去创建一个
[1] Graham Horton,et al. The Effect of Rare Events on the Evaluation and Decoding of Hidden non-Markovian Models , 2008 .
[2] Gernot A. Fink,et al. Markov Models for Pattern Recognition: From Theory to Applications , 2007 .
[3] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[4] Gunter Bolch,et al. Queueing Networks and Markov Chains - Modeling and Performance Evaluation with Computer Science Applications, Second Edition , 1998 .
[5] Reinhard German,et al. Transient analysis of deterministic and stochastic Petri nets by the method of supplementary variables , 1995, MASCOTS '95. Proceedings of the Third International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.
[6] Kishor S. Trivedi,et al. Recent Developments in Non-Markovian Stochastic Petri Nets , 1998, J. Circuits Syst. Comput..
[7] Edmundo de Souza e Silva,et al. State space exploration in Markov models , 1992, SIGMETRICS '92/PERFORMANCE '92.
[8] C. Krull,et al. HIDDEN NON-MARKOVIAN MODELS : FORMALIZATION AND SOLUTION APPROACHES , 2022 .
[9] Boudewijn R. Haverkort. In Search of Probability Mass: Probabilistic Evaluation of High-Level Specified Markov Models , 1995, Comput. J..
[10] Sanja Lazarova-Molnar. The proxel-based method , 2005 .
[11] A. Borshchev,et al. From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .
[12] de Souza e SilvaEdmundo,et al. State space exploration in Markov models , 1992 .
[13] Graham Horton. A NEW PARADIGM FOR THE NUMERICAL SIMULATION OF STOCHASTIC PETRI NETS WITH GENERAL FIRING TIMES , 2002 .
[14] Andrew J. Viterbi,et al. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.