Anzahl der Publikationen: 2
	Konferenzbeitrag
    Sale, Yusuf; Caprio, Michele und Hüllermeier, Eyke  ORCID: https://orcid.org/0000-0002-9944-4108
  
(August 2023):
		Is the volume of a credal set a good measure for epistemic uncertainty?
	
	  Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
	  
	 
	  
	   Evans, Robin J. und Shpitser, Ilya (Hrsg.):  
	  
	  
	  
	  In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,   
	  
	  
	  
	  
			Bd. 216
		
	  
	  PMLR. S. 1795-1804
	
  
      
        
          
             [PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
  
(August 2023):
		Is the volume of a credal set a good measure for epistemic uncertainty?
	
	  Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
	  
	 
	  
	   Evans, Robin J. und Shpitser, Ilya (Hrsg.):  
	  
	  
	  
	  In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,   
	  
	  
	  
	  
			Bd. 216
		
	  
	  PMLR. S. 1795-1804
	
  
      
        
          
             [PDF, 1MB]
          
        
      
 
    Wimmer, Lisa; Sale, Yusuf; Hofman, Paul; Bischl, Bernd  ORCID: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke  ORCID: https://orcid.org/0000-0002-9944-4108
  
(2023):
		Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
	
	  Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
	  
	 
	  
	   Evans, Robin J. und Shpitser, Ilya (Hrsg.):  
	  
	  
	  
	  In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,   
	  
	  
	  
	  
			Bd. 216
		
	  
	  PMLR. S. 2282-2292
	
  
      
        
          
             [PDF, 1MB]
ORCID: https://orcid.org/0000-0002-9944-4108
  
(2023):
		Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?
	
	  Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023.
	  
	 
	  
	   Evans, Robin J. und Shpitser, Ilya (Hrsg.):  
	  
	  
	  
	  In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,   
	  
	  
	  
	  
			Bd. 216
		
	  
	  PMLR. S. 2282-2292
	
  
      
        
          
             [PDF, 1MB]
          
        
      
 
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