Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting

Girard, Agathe, Rasmussen, Carl Edward, Candela, Joaquin Quiñonero, Murray-Smith, Roderick

Dec-31-2003–Neural Information Processing Systems

W e consider the problem of multi-step ahead prediction in time series analysis using the nonparametric Gaussian process model.

artificial intelligence, machine learning, null, (16 more...)

Neural Information Processing Systems

Dec-31-2003

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Country:
- Europe > Denmark
  - Capital Region > Kongens Lyngby (0.14)
- North America > Canada
  - Ontario > Toronto (0.14)

Genre:
- Instructional Material (0.47)

Technology:
- Information Technology
  - Artificial Intelligence
    - Machine Learning > Statistical Learning (0.48)
    - Representation & Reasoning (0.94)
  - Data Science (0.85)
  - Modeling & Simulation (1.00)

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Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting
Gaussian Process Priors with Uncertain Inputs Application to Multiple-Step Ahead Time Series Forecasting

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