Using unlabeled Data

  • Active learning on sparse training sets using binary SVM model (ALTrainBinSVM) Download
    Performs active learning loop on the specified input.
    Parameters and example call.
  • Semi-Supervised transduction (BowTrainRegSVM) Download
    Performs a transductive inference on a joint labelled and unlabelled dataset.
    Parameters and example call.
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  • news

    • More news on ODEUROPA project

      Marko Grobelnik gave an interview on RTV Slo / Radio Si program Euranet Plus (in Slovene)

      “Odeuropa bo ‘ustekleničil’ vonjave evropske kulturne dediščine”

       

      (more…)

    • More news on ODEUROPA project

      Dunja Mladenic gave an interview for STA newspaper, section Znanost (in Slovene)

      “Z novim projektom bodo raziskovali dediščino vonjev Evrope”

       

      (more…)

    • Marko Grobelnik gave an interview in Delo newspaper, section Znanoteh on new project H2020 ODEUROPA (in slovene)

      Marko Grobelnik gave an interview in Delo newspaper, section Znanoteh (in slovene) [pdf]

      (more…)

    • New project alert – H2020 ODEUROPA

      H2020 project ODEUROPA – a project that will deal with an analysis of the role of smell in Europe’s cultural heritage. This will include, among other things, ambitious approaches, such as building AI models that would identify what the scene smells like from images – such as photographs of Renaissance still life

      (more…)

    • Dunja Mladenic participating at panel on The Mis-portrayal of AI in the Media: What to do about it?

      Dunja Mladenic participating at panel on The Mis-portrayal of AI in the Media: What to do about it?
      (more…)

    • Interview with Marko Grobelnik – ICEGOV 2020

      Marko Grobelnik gave an ICEGOV 2020 interview on Artificial Intelligence and digital twins, right after his keynote speech in ICEGOV 2020,