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AAAI
2006
15 years 6 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
ICAC
2009
IEEE
15 years 11 months ago
Self-correlating predictive information tracking for large-scale production systems
Automatic management of large-scale production systems requires a continuous monitoring service to keep track of the states of the managed system. However, it is challenging to ac...
Ying Zhao, Yongmin Tan, Zhenhuan Gong, Xiaohui Gu,...
143
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ICML
2006
IEEE
16 years 5 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICCS
2001
Springer
15 years 9 months ago
Towards a Coupled Environmental Prediction System
Towards the realization of a global coupled air/ocean/ice predictive system for Navy needs, two high resolution modeling efforts are underway whose goals are the development and up...
Julie L. McClean, Wieslaw Maslowski, Mathew Maltru...
158
Voted
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
15 years 4 months ago
Predicting the resource consumption of network intrusion detection systems
Abstract. When installing network intrusion detection systems (NIDSs), operators are faced with a large number of parameters and analysis options for tuning trade-offs between dete...
Holger Dreger, Anja Feldmann, Vern Paxson, Robin S...