Results 271 to 280 of about 10,105,014 (311)
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Long Term Prediction of Traffic Flow
IFAC Proceedings Volumes, 1987Abstract Prediction of traffic flow is now becoming a basic problem in designing variable information boards or route guidance (route telling) systems in road networks. Although, time series analysis is widely applied to this problem, it is known that the error of prediction increases rapidly as the prediction lead time increases and it is difficult ...
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Physica D: Nonlinear Phenomena, 2000
This paper describes a simple method of obtaining longer-term predictions from a nonlinear time-series under the assumption that a reasonably good short-term predictor is known. The usefulness of the technique is that it eliminates, to some extent, the systematic errors of the iterated short-term predictor.
Judd, Kevin, Small, Michael
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This paper describes a simple method of obtaining longer-term predictions from a nonlinear time-series under the assumption that a reasonably good short-term predictor is known. The usefulness of the technique is that it eliminates, to some extent, the systematic errors of the iterated short-term predictor.
Judd, Kevin, Small, Michael
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Long-Term Morphological Prediction
2001Long-term morphological changes of alluvial rivers, estuaries, coasts and shelf seas are often difficult to predict, not only because part of the external forcing (e.g. the weather) is only predictable in a statistical sense, but also because the non-linearity of the morphodynamic processes may give rise to inherent predictability limits, which are ...
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Predicting the long-term robustness of visual features
2015 International Conference on Advanced Robotics (ICAR), 2015Many vision based localization methods extract local visual features to build a sparse map of the environment and estimate the position of the camera from feature correspondences. However, the majority of features is typically only detectable for short time-frames so that most information in the map becomes obsolete over longer periods of time.
Benjamin Metka +3 more
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Nonlinear long-term prediction of speech signals
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2002This paper presents an in-depth study of nonlinear long-term prediction of speech signals. While previous studies of nonlinear prediction focused on short-term prediction (with only moderate performance advantage over adaptive linear prediction in most cases), successful long-term prediction strongly depends on the nonlinear oscillator framework for ...
Martin Birgmeier +2 more
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The Journal of Prediction Markets, 2013
Most prediction markets focus on events with a short time horizon such as forthcoming elections. Contracts are typically traded for periods measured in weeks, but rarely exceeding a year. There is great interest in using prediction markets for events with a long time horizon such as climate change outcomes. This paper develops an analytic framework for
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Most prediction markets focus on events with a short time horizon such as forthcoming elections. Contracts are typically traded for periods measured in weeks, but rarely exceeding a year. There is great interest in using prediction markets for events with a long time horizon such as climate change outcomes. This paper develops an analytic framework for
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Predicted Long-term Outcome of Corneal Transplantation
Ophthalmology, 2009To analyze graft survival and the outcome of the corneal endothelium after corneal transplantation in a single model to predict the long-term prognosis of these grafts.Cohort study. Data were recorded prospectively and then analyzed retrospectively.One thousand one hundred forty-four consecutive eyes of 1144 patients who underwent corneal ...
Vincent M, Borderie +5 more
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Quantitative Prediction of Long-Term Failure of Polycarbonate
Macromolecules, 2005Time-to-failure of polymers, and the actual failure mode, are influenced by stress,temperature, processing history, and molecular weight. We show that long term ductilefailure under constant load is governed by the same process as short term ductilefailure at constant rate of deformation.
Klompen, E.T.J. +5 more
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ECG compression using long-term prediction
IEEE Transactions on Biomedical Engineering, 1993A new algorithm for ECG signal compression is introduced. The compression system is based on the subautoregression (SAR) model, known also as the long-term prediction (LTP) model. The "periodicity" of the ECG signal is employed in order to further reduce redundancy, thus yielding high compression ratios.
Gil Nave, Amon Cohen
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Predicting the Long-term Outcome
1979Brief reference to this aspect of the assessment of the long-term outcome has already been made both in the review of previous reports and, in passing, in several earlier chapters. The relationship is examined here between a number of features of the acute and convalescent periods after injury, including the various indirect measures of severity ...
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