Some properties of batch value of information in the selection problem

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    We examine theoretical properties of value of information (VOI) in the selection problem, and identify cases of submodularity and supermodularity. We use these properties to compute approximately optimal measurement batch policies, implemented on a "wine selection problem" example.

    Original languageEnglish
    Title of host publication26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    EditorsCarles Sierra
    PublisherInternational Joint Conferences on Artificial Intelligence
    Pages5065-5069
    Number of pages5
    ISBN (Electronic)9780999241103
    StatePublished - 1 Jan 2017
    Event26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia
    Duration: 19 Aug 201725 Aug 2017

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    ISSN (Print)1045-0823

    Conference

    Conference26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    Country/TerritoryAustralia
    CityMelbourne
    Period19/08/1725/08/17

    ASJC Scopus subject areas

    • Artificial Intelligence

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