Exploring the Frontier of Uncertainty Space

Rong Hu

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    We aim to investigate methods balancing exploitation with exploration in active learning to improve the performance of uncertainty sampling. Two exploration guided sampling methods are compared to uncertainty sampling on various real-life datasets from the 2010 Active Learning Challenge. Our initial experiments seems to indicate that combining exploration with uncertainty sampling improves performance on certain datasets but not all.
    Original languageEnglish
    DOIs
    Publication statusPublished - 2010
    EventAISTATS 2010 Active Learning and Experimental Design Workshop - Sardinia, Italy
    Duration: 16 May 201016 May 2010

    Conference

    ConferenceAISTATS 2010 Active Learning and Experimental Design Workshop
    Country/TerritoryItaly
    CitySardinia
    Period16/05/1016/05/10

    Keywords

    • active learning
    • uncertainty sampling
    • exploration
    • exploitation
    • real-life datasets
    • 2010 Active Learning Challenge

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