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FLAIRS
2009
13 years 3 months ago
Multiagent Bayesian Forecasting of Time Series with Graphical Models
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
Yang Xiang, James Smith, Jeff Kroes
JCM
2006
96views more  JCM 2006»
13 years 5 months ago
Distributed Algorithms for Dynamic Bandwidth Provisioning in Communication Networks
Efficient dynamic resource provisioning algorithms are necessary to the development and automation of Quality of Service (QoS) networks. The main goal of these algorithms is to off...
Jocelyne Elias, Fabio Martignon, Antonio Capone, G...
ICASSP
2011
IEEE
12 years 9 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
MOBIWAC
2006
ACM
13 years 11 months ago
Calibration-free WLAN location system based on dynamic mapping of signal strength
In this work we present a calibration-free system for locating wireless local area network devices, based on the radio frequency characteristics of such networks. Calibration proc...
Luís Felipe M. de Moraes, Bruno Astuto A. N...
CVPR
1999
IEEE
14 years 7 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...