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» Predicting When Not to Predict
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92
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IJON
2007
118views more  IJON 2007»
15 years 18 days ago
CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...
Simo Särkkä, Aki Vehtari, Jouko Lampinen
JNW
2007
78views more  JNW 2007»
15 years 17 days ago
A Delay Constrained Minimum Hop Distributed Routing Algorithm using Adaptive Path Prediction
Abstract— We propose a new delay-constrained minimumhop distributed routing algorithm (DCMH) for unicastrouting. DCMH uses a novel path feasibility prediction (PFP) model that is...
Azizul R. Mohd. Shariff, Michael E. Woodward
CSDA
2004
129views more  CSDA 2004»
15 years 16 days ago
Gaussian process for nonstationary time series prediction
In this paper, the problem of time series prediction is studied. A Bayesian procedure based on Gaussian process models using a nonstationary covariance function is proposed. Exper...
Sofiane Brahim-Belhouari, Amine Bermak
82
Voted
IJBIDM
2010
111views more  IJBIDM 2010»
14 years 11 months ago
Context-aware taxi demand hotspots prediction
: In an urban area, the demand for taxis is not always matched up with the supply. This paper proposes mining historical data to predict demand distributions with respect to contex...
Han-Wen Chang, Yu-chin Tai, Jane Yung-jen Hsu
94
Voted
CDC
2010
IEEE
116views Control Systems» more  CDC 2010»
14 years 7 months ago
High level model predictive control for plug-and-play process control with stability guaranty
In this paper a method for designing a stabilizing high level model predictive controller for a hierarchical plugand-play process is presented. achieved by abstracting the lower la...
Axel Gottlieb Michelsen, Jakob Stoustrup