Sökning: "staplade generaliseringar"

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  1. 1. Improving Artist Content Matching with Stacking : A comparison of meta-level learners for stacked generalization

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Fannar Magnússon; [2018]
    Nyckelord :machine learning; stacked generalization; combining classifiers; meta-learning; name disambiguation.; maskininlärning; staplade generaliseringar; kombinerande klassificerare; metainlärning; namn disambiguering.;

    Sammanfattning : Using automatic methods to assign incoming tracks and albums from multiple sources to artists entities in a digital rights management company, where no universal artist identifier is available and artist names can be ambiguous, is a challenging problem. In this work we propose to use stacked generalization to combine the predictions of heterogeneous classifiers for an improved quality of artist content matching on two datasets from a digital rights management company. LÄS MER