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
- ICEGOV: Keynote 2 and panel discussion: Thursday, 24 September 2020 | 10:00-11:30 (UTC+3)
  
  Marko Grobelnik will be a keynote speaker at ICEGOV 2020 conference Artificial intelligence in digital governance: the digital twins paradigm (more…)
- Marko Grobelnik panellist on WSIS forum 2020
  
  Tuesday Sep 8th at 13h CET Marko Grobelnik has been part of an interesting panel on “High-level Dialogue (HLD) session on Promoting Global Cooperation to harness the power of AI to mitigate COVID-19 World Summit on the Information Society”
  
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- Marko Grobelnik panellist at Bled Strategic Forum 2020
  
  BSF 2020: Challenges and Opportunities in the Post-COVID–19 World: Neighbours – Regions – Global World: Partners or Rivals?
  
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- Marko Grobelnik gave an interview for the national radio (in slovene)
  
  Interview on Slovenian Covid-19 app – Will the Slovenian application only follow infections or also people?
  
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- Marko Grobelnik gave an interview for the national radio (in slovene)
  
  Interview on AI (good and bad), IRCAI, ethics, opportunities, future etc. on the national radio.
- EW-Shopp project recognised as an excellent innovation
  
  The Event and Weather Analytics Tool developed by Ailab in the EW-Shopp project recognised as an excellent innovation by the European Commission’s Innovation Radar!