Distributed Self-Monitoring Sensor Networks Via Markov Switching Dynamic Linear Models
作者： Lei Fang , Juan Ye , Simon Dobson
关键词:
摘要: … propose a hybrid model that combines the Bayesian Dynamic Linear Models (DLMs) and Hidden Markov Models (HMMs); ie Hidden Markov Switching Dynamic Linear Models (HMS-…
st-andrews.ac.uk
sci-hub.se 参考文章(24)
Lei Fang, Simon Dobson, Unifying Sensor Fault Detection with Energy Conservation international workshop on self organizing systems. pp. 176- 181 ,(2013) , 10.1007/978-3-642-54140-7_18
Lei Fang, Simon Dobson, In-Network Sensor Data Modelling Methods for Fault Detection ambient intelligence. pp. 176- 189 ,(2013) , 10.1007/978-3-319-04406-4_17
Nir Friedman, Daniel L. Koller, Probabilistic graphical models : principles and techniques The MIT Press. ,(2009)
Thomas P. Minka, Rosalind Picard, A family of algorithms for approximate bayesian inference Massachusetts Institute of Technology. ,(2001)
Hinrich Schütze, Christopher D. Manning, Prabhakar Raghavan, Introduction to Information Retrieval ,(2005)
Uri Lerner, Ronald Parr, Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms uncertainty in artificial intelligence. pp. 310- 318 ,(2001)
Xavier Boyen, Daphne Koller, Tractable inference for complex stochastic processes uncertainty in artificial intelligence. pp. 33- 42 ,(1998)
Emiliano Miluzzo, Nicholas D. Lane, Andrew T. Campbell, Reza Olfati-Saber, CaliBree: A Self-calibration System for Mobile Sensor Networks Distributed Computing in Sensor Systems. pp. 314- 331 ,(2008) , 10.1007/978-3-540-69170-9_21
Lei Fang, Simon Dobson, Towards Data-centric Control of Sensor Networks through Bayesian Dynamic Linear Modelling self-adaptive and self-organizing systems. pp. 61- 70 ,(2015) , 10.1109/SASO.2015.14
Abhishek B. Sharma, Leana Golubchik, Ramesh Govindan, Sensor faults: Detection methods and prevalence in real-world datasets ACM Transactions on Sensor Networks. ,vol. 6, pp. 23- ,(2010) , 10.1145/1754414.1754419