Skip to main navigation Skip to search Skip to main content

Gaussian Process Model Re-Use

Research output: Contribution to conference › Conference Paper › peer-review

211 Downloads (Pure)

Abstract

Consider the situation where we have some pre-trained classification models for bike rental stations (or any other spatially located data). Given a new rental station (deployment context), we imagine that there might be some rental stations that are more similar to this station in terms of the daily usage patterns, whether or not these stations are close by or not. We propose to use a Gaussian Process (GP) to model the relationship between geographic location and the type of the station, as determined by heuristics based on the daily usage patterns. For a deployment station, we then find the closest stations in terms of the Gaussian Process (GP) function output, and then use the models trained on these stations on the deployment station. We compare against several baselines, and show that this method is able to outperform those baselines.
Original languageEnglish
Publication statusPublished - 11 Sept 2015
EventMoReBikeS Challenge 2015 - Porto, Portugal
Duration: 11 Sept 2015 → …

Conference

ConferenceMoReBikeS Challenge 2015
Country/TerritoryPortugal
CityPorto
Period11/09/15 → …

Research Groups and Themes

  • Jean Golding
  • SPHERE

Keywords

  • gaussian process
  • model reuse
  • spatiotemporal modelling

Access to Document

  • Full-text PDF (accepted author manuscript)

    This is the accepted author manuscript (AAM). The final published version (version of record) is available online via Reframe at http://reframe-d2k.org/Challenge. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 4.88 MBLicence: CC BY-NC-ND

Handle.net

    Fingerprint

    Dive into the research topics of 'Gaussian Process Model Re-Use'. Together they form a unique fingerprint.
    View full fingerprint

    • SPHERE (EPSRC IRC)

      Craddock, I. J. (Principal Investigator), Coyle, D. T. (Principal Investigator), Flach, P. A. (Principal Investigator), Kaleshi, D. (Principal Investigator), Mirmehdi, M. (Principal Investigator), Piechocki, R. J. (Principal Investigator), Stark, B. H. (Principal Investigator), Ascione, R. (Co-Principal Investigator), Ashburn, A. M. (Collaborator), Burnett, M. E. (Collaborator), Damen, D. (Co-Principal Investigator), Gooberman-Hill, R. (Principal Investigator), Harwin, W. S. (Collaborator), Hilton, G. (Co-Principal Investigator), Holderbaum, W. (Collaborator), Holley, A. P. (Manager), Manchester, V. A. (Administrator), Meller, B. J. (Other ), Stack, E. (Collaborator) & Gilchrist, I. D. (Principal Investigator)

      1/10/13 → 30/09/18

      Project: Research, Parent

    • REFrAMe

      Flach, P. A. (Principal Investigator)

      Engineering and Physical Sciences Research Council

      1/02/13 → 1/08/16

      Project: Research

    Cite this