Searching for "Dependent Gaussian Processes." – sorted by Relevance.
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Dependent Gaussian processes
- Dependent Gaussian Processes Phillip Boyle and Marcus Frean School of Mathematical and Computing
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Application of the M/Pareto Process to Modeling Broadband Traffic Streams
- in the process. When the level of aggregation is high, the M/Pareto converges to a long range dependent Gaussian
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Gaussian processes for regression and optimisation
- show how dependent Gaussian processes defined in this way can also be used for the purposes of system
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Queueing Analysis of High-Speed Multiplexers including Long-Range Dependent Arrival Processes.
- includes a large class of self-similar or other types of long-range dependent Gaussian processes
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Mixtures of Gaussian processes
- for quantifying the dependencies in graphical models. 1 Introduction Gaussian processes are typically used
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Modeling Network Traffic in Wavelet Domain
- as well as evaluate wavelet models for the long-range and the short-range dependent Gaussian processes
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Semiparametric latent factor models
- P (v|x) as a set of dependent Gaussian processes with C(C +1)/2 cross-covariance functions. Tasks
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Motion Estimation in Ultrasound B-mode Images Using a Maximum Likelihood Matching Criterion.
- in B-mode data, and alternately as a signal-dependent Gaussian process in displayed images [2]. 2
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Multiple output gaussian process regression
- are dependent Gaussian processes. Now we can model multiple dependent outputs by parameterising the set
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Modeling Video Traffic in The Wavelet Domain
- to that of long-range dependent processes such as Fractional Gaussian Noise process [19] at the large lags
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